Voice-to-Voice AI with any LLM, leveraging Open Source SDKs| Daily API: Developer Tips to Build Real-time Voice, Video, and AI into Apps
The rapid rise of AI-assisted development is transforming how software is built, with coding agents emerging as powerful tools for modern developers. In this blog, we will show you how to deploy coding agents on AMD GPUs using frameworks such as SGLang, vLLM, and llama.cpp, and walk through a practical workflow example: creating a Minesweeper game using Aider.| AMD ROCm Blogs
Not that long ago, I tried to use Claude to customize Publii, the app I use to make this website. It didn't do so well. Literally the next day, Anthropic announced the Claude 4 family, and now Claude Sonnet 4.5 is out. Anthropic's unbiased opinion…| mattsayar.com
Large Language Models (LLMs) like LLaMA 2 and Mistral are often described as “black boxes”. This means that you can see the text you give them and the responses they produce, but their inner workings remain hidden. Inside the model, billions of weigh...| freeCodeCamp.org
本記事では、AIコーディングエージェントとして知られる「Claude Code」が実際にどう使われているかの調査結果を紹介します。 本記事の関連研究 ChatGPTは実際に開発現場でどう使われているか GitHubのプル […] The post Claude Code生成コードが実際の開発でどう扱われているかの調査結果 first appeared on AIDB.| AIDB
本記事では、LLMの出力が似たようなものになりやすい現象について、それが本当に問題なのかどうかをタスクごとに見ていきます。 タスクによっては、同じ答えを返すことが望ましい場合もあれば、視点や言い回しに幅があったほうがよい […] The post LLMの均質な回答が良いか悪いかはタスクで決まる first appeared on AIDB.| AIDB
本記事では、構造化出力がLLMの質にどう影響するかを取り上げます。出力の形式を変えることで、モデルのふるまいがどう変わるのか。タスクや指示の内容によって、その影響は変わるのか。こうした因果関係を見ていきます。 背景 LL […] The post JSONなどの構造化出力はLLMの質にどう影響するか first appeared on AIDB.| AIDB
本記事では、Copilotを使う際に気をつけたいポイントとして、プロンプトインジェクションによる機密情報の漏洩リスクを検証した事例を紹介します。 プロンプトインジェクションとは、外部のメールや文書に紛れた“指示”が、LL […] The post Copilotサービスを使う上で気を付けたいプロンプトインジェクションによる機密情報漏洩リスク first appeared on AIDB.| AIDB
本記事では、中小企業でLLMを安全に導入するための原則と、その実現を支えるフレームワークを紹介します。 LLMの活用が広がる中で、中小企業も活用の可能性を感じつつ、どう取り組めばよいか悩んでいるケースは少なくありません。 […] The post 中小企業におけるLLM導入を安全なものにするための原則とフレームワーク first appeared on AIDB.| AIDB
本記事では、LLMが誤ってリクエストを拒否してしまう現象について調べた研究を紹介します。 ペルソナの指定やタスクの内容、プロンプトの書き方、使うモデルによって、ふるまいがどのように変わるのかを整理しています。見過ごされが […] The post LLMの誤拒否はいつ起きる ペルソナ・タスク・プロンプト・モデルの影響 first appeared on AIDB.| AIDB
Are your users searching for particular brands? Can we use LLMs for brand detection and use this to improve search & drive business? The post More Query Understanding: Brand Detection with LLMs appeared first on OpenSource Connections.| OpenSource Connections
You’ve probably been hearing a lot about AI and Large Language Models (LLMs) lately. But what exactly are they, and why is everyone talking about them? Let’s break it down in a simple way. Imagine having a conversation with a machine that not only understands what you’re saying but can also respond naturally, maybe even ... Read more| AI-Q
Introduction Artificial intelligence (AI) is central to Grab’s mission of delivering valuable, personalised experiences to millions of users across Southeast Asia. Achieving this requires a deep understanding of individual preferences, such as their favorite foods, relevant advertisements, spending habits, and more. This personalisation is driven by recommender models, which depend heavily on high-quality representations of the user. Traditionally, these models have relied on hundreds to th...| Grab Tech
OpenAI reportedly closes new $6.6B secondary sale at $500B valuation - SiliconANGLE| SiliconANGLE
My initial aim was to build a document processing model. But the idea was far fetched for my skill at the time. So, I settled down for building a toy version of visual language model for better understanding of VLM. I’m documenting my intuition for the benefit of myself and others. My model will receive image as an input and return its caption as an output. Luckily, I found a dataset with image and it’s caption to train.| Poonai's space
Today is the Ides of March by the old Roman reckoning. It is, of course, most famous as the day of the year when Julius Caesar was assassinated, but long before that it was a day of special importance on the Roman calendar: the traditional start of the campaigning season, when the winter rains (and snows in high country) were over, and the ground was dry enough for Roman legionaries to march forth and hack Gauls, Etruscans, or Samnites to pieces. This was the Roman national sport before they ...| Bondwine Books
Building AI applications that can interact with private data is a common goal for many organizations. The challenge often lies in connecting large language models (LLMs) with proprietary datasets. A combination of Heroku Managed Inference and Agents and LlamaIndex provides an elegant stack for this purpose. This post explores how to use these tools to build retrieval-augmented generation (RAG) applications. We'll cover the technical components, Use Cases and the development process, and how t...| Heroku
Snowflake recently released a suite of built-in functions that allow users to leverage AI functionality directly through SQL. These functions leverage powerful models (e.g. Anthropic, Meta, Arctic, etc) that are fully hosted inside Snowflake and can be used for a wide range of tasks. In... The post AI-Powered Airport Operations: Leveraging Snowflake and LLMs in Lost & Found items appeared first on InterWorks.| InterWorks
On September 20th, 2025, I spoke on a panel at THE LEGACY OF CCH CANADIAN LTD. v. LAW SOCIETY OF UPPER CANADA AND FUTURE OF COPYRIGHT LAW CONFERENCE 2025. Here is my talk.| Librarian of Things
DeepSeek's R1 open model launch caused quite a stir with one of the first open reasoning models. Here's how to run a demo of it locally on GKE! We can use an Nvidia L4 (or A100 40GB) to run the 8B Llama distilled model, or a A100 80GB to run the 14 and 32B Quen distilled models. I'll be pairing t| William Denniss
Stand back and take a look at the last two years of AI progress as a whole... AI is catching up with humans so quickly, in so many areas, that frankly, we need new tests.| New Atlas
Earlier this month, co-founder and CTO Suzanne Gildert left humanoid robotics company Sanctuary AI and her beloved Phoenix robot to focus full-time on AI safety, ethics and consciousness. We spoke to her just weeks before she departed.| New Atlas
I asked three different commercially available LLMs the same question: Which TLDs have the same name as valid HTML5 elements? This is a pretty simple question to answer. Take two lists and compare them. I know this question is possible to answer because I went through the lists two years ago. Answering the question was a little tedious and subject to my tired human eyes making no mistakes. So…| Terence Eden’s Blog
I recently got frustrated with Codex’s command permissions. They don’t let you configure which commands should always be allowed or denied. There’s an issue about it, but it’s …| rand[om]
Descubre y sigue un ejercicio Python con código completo para crear Aplicaciones LLM usando Langchain. Aprende a reutilizar prompts con Templates y Parsers, crea flujos de datos y herramientas para tus agentes.| Aprende Machine Learning
I have questions for folks using code assistants and other AI developer tooling. Don’t worry. These are workflow questions, not ethics questions. We can talk about those another time. ℹ️ Cognitive bias disclaimer If you answer, you’re talking to someone who usually puts air quotes around “AI.” I read every update from Ed Zitron beginning to end, often in one sitting. So not exactly a friendly audience. But I’m leaving the air quotes out today. So not an actively hostile audience...| HomeonRandom Geekery
How do LLMs actually work? We just posted a course on the freeCodeCamp.org YouTube channel that will teach you how to build a large language model from scratch using pure PyTorch. This isn't your typical course that just scratches the surface. It’s a...| freeCodeCamp.org
This is an edited version of a post I wrote for the Liberis internal engineering blog - it is not particularly original, most of the ideas come directly from Simon Willison’s article “Lethal Trifecta for AI agents” - but I thought it was worth writing a summary for our engineers, and sharing it more widely. Bruce Schneier summarised the current Agentic AI situation in his blog: We simply don’t know how to defend against these attacks. We have zero agentic AI systems that are secure ag...| Korny's Blog
Ein Foto hochladen, einen Satz tippen, fertig – schon steht da eure hyperrealistische Action-Figur mit Verpackung und allem Drum und Dran. "Doll in a Box 2.0" erobert gerade TikTok und Instagram, und dahinter steckt Googles kostenlose KI "Nano Banana". Wir zeigen euch, wie ihr in wenigen Klicks zum digitalen Superhelden werdet.| Jörg Schieb | Digital und KI
Overview NSFOCUS LLM security solution consists of two products and services: the LLM security assessment system (AI-SCAN) and the AI unified threat management (AI-UTM), forming a security assessment and protection system covering the entire life cycle of LLM. In the model training and fine-tuning stage, the large language model security assessment system (AI-SCAN) plays a […] The post Dive into NSFOCUS LLM Security Solution appeared first on NSFOCUS, Inc., a global network and cyber securi...| NSFOCUS, Inc., a global network and cyber security leader, protects enterpris...
In our previous article, we explored how full-text search can stumble on long, natural-language prompts and how hybrid approaches—combining full-text, trigram, and semantic search—can restore relevance. But building a search engine that “works” is only the beginning. In this follow-up, we enter the Age of Refinement. Learning how to evaluate and optimize search performance for MCP systems. from practical tuning of full-text search strategies for improving semantic search, and, most im...| bitcrowd blog Blog
Après ces premières semaines de rentrée, je vous souhaite la bienvenue dans ce troisième article de notre série sur le traitement du langage naturel après avoir vu les n-grams et les embeddings. Au…| enioka
Learn how to query and ingest data in QuestDB using Large Language Models like Claude through REST APIs and PostgreSQL MCP servers. This post explores real-world examples of natural language interfaces, autonomous agents, and AI-assisted database interactions| QuestDB Blog
By Richard D. Harroch and Dominique A. Harroch Navigating your career path can be one of the most rewarding yet challenging aspects of life. From choosing a profession that aligns with your passions to making tough decisions about career transitions, the journey is full of pivotal moments that require thoughtful planning and execution. While mentors, colleagues, and self-reflection play vital roles in shaping your career, leveraging tools like ChatGPT can provide valuable, personalized guidan...| AllBusiness.com
A couple of days ago I spoke with a friend who was troubled by the case of Adam Raine, the sixteen-year-old who was counseled by a ChatGPT AI therapy chatbot into killing himself. That was of…| Economist Writing Every Day
God: …and the math results we’re seeing are nothing short of astounding. This Terry Tao guy - Iblis: Let me stop you right there. I agree humans can, in controlled situations, provide correct answers to math problems. I deny that they truly understand math. I had a conversation with one of your “humans” yesterday, which I’ll bring up here for the viewers … give me one moment … When I give him an easy problem that he’s encountered in school, it looks like he understands. But wh...| Josh Beckman
Working in a monorepo and with a merge-queue (as we are now doing inside Shopify - I’m grappling with it), it becomes imperative that pull-requests (proposed changes) are compared and tested against the most up-to-date version of the codebase. To ensure tests and reviews are accurate, they need to cross the smallest gap possible.| Josh Beckman
Interview. AI searches that query any part of an organization’s data will need to look at structured as well as unstructured data, and the structured data won’t just be relational databases, where SQL rules. There are graph databases that store relationships between entities. The entries in a graph database can’t be vectorized, ruling out GenAI […]| Blocks and Files
. El Asistente Conversacional para Evaluación Ambiental corresponde a un instrumento digital de apoyo técnico, enfocado exclusivamente en la estandarización de impactos ambientales y su valoración mediante la metodología Conesa. Su diseño garantiza que los proyectos sujetos a licenciamiento ambiental en Colombia sigan los lineamientos de la Metodología General para estudios ambientales, aplicando las categorías… Leer más »Asistente Estandarización y Calificación de Impactos –...| estudioIAmbiental
The InfoQ Software Architecture and Design Trends for 2025 provides interesting insights about the state of software architecture, so let's take a look. One interesting take away is AsyncAPI.| Mozaic Works
Sometime around ChatGPT's initial release, everyone decided that Machine Learning (ML) is also going to be called 'AI' now. It's high time I learned a little bit more about creating machine learning models, so I thought it would be fun to make one trained on…| mattsayar.com
本記事では、主要なLLM事業者6社のプライバシーポリシーを分析した研究を紹介します。調査は、チャットでやり取りされたデータがどのように扱われているかを中心に行われました。| AIDB
Most testing prevents old bugs from returning. But what if we built systems where LLMs could actively discover new bugs instead?| Pierre Zemb's Blog
A few tries at an LLM analogy| jodavaho.io
This post introduces a convenient way to automate git commit using a custom slash command in Claude Code. Introduction Auto-Commit with a Custom Slash Command in Claude Code How to Do It Example Conclusion References Introduction Writing a good git commit message is important, but it can also be a t…| BioErrorLog Tech Blog (en)
This post is a quick memo on how to create custom slash commands in Claude Code. Introduction What Are Custom Slash Commands in Claude Code? How to Create Custom Slash Commands Basic Syntax and Example Commands Prompt Only Arguments Running Bash Commands File Reference Frontmatter Conclusion Referen…| BioErrorLog Tech Blog (en)
This is a quick memo on how to bulk delete all your chat history in Claude. Introduction How to Bulk Delete All Chats in Claude Steps Example Conclusion References Introduction Lately, I've been using Claude more often than ChatGPT. I couldn’t immediately figure out how to delete all chats in Claude…| BioErrorLog Tech Blog (en)
If you delete the chat where the image was generated, the corresponding image will also be deleted from the ChatGPT Library. Introduction How to Delete Images from ChatGPT Library Method Let’s Try It Conclusion Reference Introduction A new "Library" tab was recently added to ChatGPT. This tab shows …| BioErrorLog Tech Blog (en)
In this post, I’ll run a simple robot experiment on Raspberry Pi, combining a camera and servo motors with GPT-4 Vision. For Part 1, see: en.bioerrorlog.work Introduction Combining GPT-4 Vision with Raspberry Pi Concept Setup Hardware Software Results Conclusion References Introduction When I did ou…| BioErrorLog Tech Blog (en)
We'll conduct a simple experiment combining a camera, servo motors, and GPT on a Raspberry Pi. Introduction Combining GPT with Raspberry Pi, Camera, and Servo Motors Prototype Concept Setup Hardware Software Results Challenges Object Detection Token Usage Memory Retention Perceiving the World Conclu…| BioErrorLog Tech Blog (en)
We will create a shell command to quickly combine the contents of multiple files, including directory structure information, for LLM prompts. Introduction Shell Command to Concatenate Multiple Files for AI Coding Goal Command Implementation Examples Conclusion References Introduction When coding wit…| BioErrorLog Tech Blog (en)
This is a memo on how to implement an MCP server using Golang. Introduction Prerequisite: Is there an official Go MCP SDK? Implementing an MCP Server in Go The Target MCP Server Implementing the MCP server in Go Implementing the Tool Implementing the Resource Implementing the Prompt Testing the Serv…| BioErrorLog Tech Blog (en)
This guide summarizes how to use the MCP CLI. Introduction How to Use MCP CLI Installing MCP CLI List of MCP CLI Commands How to Use mcp run How to Use mcp dev How to Use mcp install Conclusion References Introduction MCP CLI is a tool included in the MCP SDK that helps MCP server development. This …| BioErrorLog Tech Blog (en)
This is a quick guide on how to use "MCP Inspector," a browser-based test tool for MCP servers. Introduction How to Use MCP Inspector Preparation: Set Up a Minimal MCP Server Launching MCP Inspector Using MCP Inspector Conclusion References Introduction MCP Inspector is an official browser-based tes…| BioErrorLog Tech Blog (en)
Use MCP to let an LLM play Minesweeper. Introduction Playing Minesweeper via MCP Overview Starting the Minesweeper Server Building the MCP Server Connecting Claude Desktop with MCP Server Letting Claude Play Minesweeper Conclusion References Introduction The combination of MCP and games is exciting.…| BioErrorLog Tech Blog (en)
This is a quick note to connect Claude Desktop to an MCP (Model Context Protocol) server. Introduction How to Connect Claude Desktop to an MCP Server 1. Add MCP Server Information to the Config File 2. Restart Claude Desktop Conclusion References Introduction Since Claude Desktop is made by Anthropi…| BioErrorLog Tech Blog (en)
Learn about AI agent patterns and practices from Anthropic’s article "Building effective agents" and its follow-up video. Introduction Background: What Is an AI Agent? AI Agent Patterns Augmented LLM Workflow: Prompt chaining Workflow: Routing Workflow: Parallelization Workflow: Orchestrator-workers…| BioErrorLog Tech Blog (en)
In this post, we'll connect GPT / OpenAI API with MCP (Model Context Protocol), and learn how MCP works. Introduction Recap: What is MCP? Connecting GPT to an MCP Server Implementing the MCP Server Implementing the MCP Client Running the MCP Client and Server Conclusion References Introduction Since…| BioErrorLog Tech Blog (en)
Claude Codeカスタムスラッシュコマンドで自動git commitすると便利だよという紹介です。 はじめに Claude Codeカスタムスラッシュコマンドで自動git commitする やり方 具体例 おわりに 参考 はじめに git commitメッセージは重要であると同時に、考えるのにワンテンポ要する作業でもあります。 Claude Codeカスタムスラッシュコマンドを活用することでこの作業を補佐できるので、...| BioErrorLog Tech Blog
Claudeでチャット履歴を全て一括削除する方法の備忘録です。 はじめに Claudeの全チャットを一括削除する やり方 実行例 おわりに 参考 はじめに 最近、ChatGPTよりもClaudeを使うことが多くなってきました。 Claudeで全チャットを一括削除する方法がパッとわからなかったので、やり方を残します(2025年9月時点の方法)。 The English translation of this post is here. Claudeの全チャットを...| BioErrorLog Tech Blog
Claude Codeのカスタムスラッシュコマンドの作り方の基本を備忘録にまとめます。 はじめに Claude Codeカスタムスラッシュコマンドとは何か カスタムスラッシュコマンドの作り方 主な文法とカスタムスラッシュコマンド例 プロンプトのみ 引数 bashコマンドの実行 ファイル参照 フロントマター おわりに 参考 はじめに 私は日頃Claude Codeを使ってコーディングしています。 ...| BioErrorLog Tech Blog
Getting different parties in the software industry to agree on a common standard is rare. Most of the time, a dominant player sets the rules. Occasionally, however, collaboration happens organicall…| Small Data And self service
When you talk to an AI assistant, it can feel like it remembers what you said before. But large language models (LLMs) don’t actually have memory on their own. They don’t remember conversations unless that information is given to them again. So, how ...| freeCodeCamp.org
When you talk to a large language model (LLM), it feels like the model understands meaning. But under the hood, the system relies on numbers, vectors, and math to find the relationships between words and sentences. One of the most important tools tha...| freeCodeCamp.org
So you’ve caught the Model Context Protocol (MCP) trend and decided that you want to expose an existing REST web service as MCP without writing a new service. What are your options? In this guide, let’s take a look at the options available as of The post How to Convert REST Web Service APIs to MCP first appeared on djitz.com.| djitz.com
If you use LLM models like ChatGPT, Gemini, Claude, or any other model for learning or research, you must have seen website links displayed under the results.| POWR Blog
Via Audrey Watters’s newsletter| Mark Carrigan
My Journey to Building Agentic Apps My childhood dream of having a personal J.A.R.V.I.S has come true. The recent advancement in LLMs (Large Language Models) made me look at it as everyone. As an industry, we all are figuring out how to build agentic apps “the right way.”| Poonai's space
In this episode of Practical AI, we explore how to run large language models locally using Jan, a privacy-first, open-source desktop client. With support for Model Context Protocol (MCP) servers, Jan lets you integrate tools like Microsoft Learn directly into your AI workflow—no cloud required. The post Practical AI: Make Your LLM Local with Jan appeared first on Practical 365.| Practical 365
Know the problem.| Librarian of Things
The Scam Called “You Don't Have to Remember Anything” – That post from Zettelkasten.de blew up on Hacker News yesterday to my surprise. We will discuss this in a couple of days and let the dust settle.| Christian Tietze
Learn how to establish a solid baseline, select a high-impact use case, and calculate ROI in terms your finance team can appreciate.| Atomic Spin
LLMs require a human operator with deep understanding of a problem before they can generate useful code I recently stumbled on this post - a good read that makes the point about being lured into a pitfall of believing that LLMs provide a shortcut around deep learning for their human operator. The Loop Before The Code Software development rarely begins by writing code. Usually, the first step is actually a loop (of sorts): understanding the problem, examining requirements, exploring edge cases...| Konstantin's Blog Feed
All you need to know about Qwen 3 Max by Alibaba. China's most powerful AI with 1 trillion parameters, long context, and top benchmark scores.| Fello AI
Less sophisticated AI models are just OK for regular use, reducing the cost. In many cases, self-hosted open source models could actually be good enough for many use cases. This articles shows research from Epoch AI, a non-profit organization. Two … Continue reading →| Rafeeq Rehman | Cyber Security | Board Advisory
Most of the major LLM chatbot vendors are now offering a tool called deep research. These tools basically just scour the web given a question, and return a report. For academics conducting literatu…| Andrew Wheeler
By definition coding agents, or AI Agents in general are built from a combination of a large language model, a well-defined set of tools exposed using the...| Techdecline's Blog
Schluss mit dem Rätselraten: Google hat endlich konkrete Zahlen zu den Gemini-Beschränkungen veröffentlicht. Wir zeigen, was die verschiedenen Tarife bieten und wie sich Gemini gegen ChatGPT und Claude schlägt.| Jörg Schieb | Digital und KI
Ralph Losey created teaching hypotheticals for attorneys using AI, and tasked the AI's to do it with humor. "Here’s the twist: the comedy wasn’t mine. It came from GPT-5, the latest large language model whose humor engine is far better than its case-law recall. I set up the scenarios, GPT-5 delivered the jokes, and I stepped back in to polish timing and add the serious lessons. Think of it as Comedy CLE: education on hallucinations, drift, and privilege, with punchlines courtesy of AI its...| EDRM
LLM-Powered SEO Differs From Traditional SEO is many ways that can shift your strategies toward a whole new level and create more impacts.| StoreSEO
This year, I’ve run two experiments to get a glimpse at the role that LLMs will play in organizational development. In my first experiment, I replaced an| Viktor Cessan - Enterprise Agile, and Product Coaching
Explore practical edge deployment of LLMs for IoT and embedded systems using Hailo-10H AI accelerators. Start powering smarter solutions!| Hailo
Overview With the widespread application of LLM technology, data leakage incidents caused by prompt word injections are increasing. Many emerging attack methods, such as inducing AI models to execute malicious instructions through prompt words, and even rendering sensitive information into pictures to evade traditional detection, are posing serious challenges to data security. At the same […] The post Prompt Injection: An Analysis of Recent LLM Security Incidents appeared first on NSFOCUS, ...| NSFOCUS, Inc., a global network and cyber security leader, protects enterpris...
August 19, 2025The server-side rendering equivalent for LLM inference workloads| stackoverflow.blog
Posted by Wei Wei, Developer AdvocateLarge language models (LLMs) are taking the world by storm, thanks to their powerful ability to generate text, translate languages, and answer questions in a coherent and informative way. At Google I/O 2023, we released the PaLM API as ‘public preview’ so that many developers can start building apps with it. While PaLM API already has excellent documentation on its extensive usage and best practices, in this blog we are going to take a more focused app...| The TensorFlow Blog
Oracle Cloud Infrastructure (OCI) offers a comprehensive suite of artificial intelligence and machine learning services that go far beyond traditional cloud computing. While many focus on basic com…| Technology Geek
I don’t know about you, but this presentation Tech Promised Everything. Did it deliver? by Scott Hanselman seemed to pop up all over the place for me recently, in podcasts and social media posts. At some point I initially watched about 1/2 of it, and stopped because although it seemed kind of sweet I couldn’t understand what the fuss was about. Then later after seeing it mentioned in another context I finished watching it. What follows will only make sense if you have seen it. If you have...| inkdroid
September feels like a time for recommitment. A chance to pick things back up, or begin again with a little more focus. The post Turning of Attention appeared first on thejaymo.| thejaymo
How we improved Canva’s private design search while respecting the privacy of our community.| Canva - Engineering Blog
LLMs might cheapen the labor, but they won't cut costs in the long run.| Whatever the Wind Brings
Let's decode what MCP means, why it's important, and how it’s powering a revolution in making AI assistants actually useful for everyone.| Datafloq
I’ve been spending time doing some work with AI – and this blog is just a “check-in” journal on what has been working for me. This blog will begin with “Idea Honing” (mini PRD) and then move to an iterative development workflow, followed by an example project. Idea Honing You need to spend some time … Continue reading My exploratory AI workflow| DataDuel.co
Our most recent data study tests if LLM traffic converts better than search. Discover the results for a better understanding of how LLMs are driving traffic. The post Does LLM Traffic Convert Better Than Organic? A New Data-Backed Study appeared first on Amsive.| Amsive
Discover the leading brands & top cited websites in AI Search across 10 business categories in this Profound & Amsive joint data study.| Amsive
The rapid evolution of AI is transforming how enterprises interact with data. As organizations look to deploy AI applications like chatbots and internal search tools, one of the biggest challenges they face is data readiness. Without a reliable, structured data layer, AI agents often produce inaccurate or incomplete answers. This lack of control can put... The post What is Model Context Protocol (MCP) and How Does Structured Data Play a Role? appeared first on Schema App Solutions.| Schema App Solutions
NLWeb turns Schema Markup into AI-ready data—unlocking smarter search, improved content discoverability, and faster AI integration.| Schema App Solutions
本記事では、LLMエージェントの失敗パターンを分析した研究を紹介します。自律的に動くエージェントを設計しても、思うようにタスクをこなせないことは少なくありません。| AIDB
Authors: Lara Rachidi & Maria Zervou Introduction Welcome to our technical blog on the challenges encountered when building and deploying Retrieval-Augmented Generation (RAG) applications. RAG is a GenAI technique used to incorporate relevant data as context to a large language model (LLM) without t...| community.databricks.com
OpenAI and Microsoft debut new voice models - SiliconANGLE| SiliconANGLE
LLMs are not going to replace developers. Next token prediction is not the path to human intelligence. LLMs provide a convenient excuse for companies not hiring or laying off developers to say that the decision is driven by LLMs, rather than admit that their business is not doing so well| The Shape of Code