Despite the growing awareness of AI security and compliance risks, organizations still need to prepare a strategy to mitigate potential harms from bad actors.| Modus Create
Compare the best Anthropic alternatives to find an AI solution that best fits your business needs and future goals.| ClickUp
Convo-Lang is an open source AI-native programming language and ecosystem designed specifically for building powerful, structured prompts and agent workflows for large language models (LLMs) like GPT-4, Claude, Llama, DeepSeek, and more.| learn.convo-lang.ai
Learn why Chatbots are essential for your use cases. Discover benefits of AI chatbots and how you can use it to create new content and ideas including text, conversations, images, video, and audio.| Amazon Web Services, Inc.
Customers can access advanced open weight models in Amazon Bedrock and Amazon SageMaker AI, bringing together OpenAI and the world’s most comprehensive and broadly adopted cloud.| www.aboutamazon.com
This article introduces autonomous inferencing - a way to process large volumes of prompts or run compute-intensive agentic systems with performance that surpasses off-the-shelf inference solutions - take a look at the benchmarks!| outerbounds.com
Keeping your code and development workflow secure is important to us. Amp is built by Sourcegraph with the security of our enterprise customers in mind.| ampcode.com
Salesforce Agentforce 3 has AI agent observability and native MCP support, providing real-time visibility and secure interoperability.| VentureBeat
Learn what Large Language Models are and why LLMs are essential. Discover its benefits and how you can use it to create new content and ideas including text, conversations, images, video, and audio.| Amazon Web Services, Inc.
In traditional lexical search we often use text analysis to improve search results. OpenSearch uses analyzers to refine, tokenize, and convert text fields before storing them in an index. As an example,...| OpenSearch
This powerful and cost-effective model outperforms on intelligence benchmarks, with remarkable capabilities in vision, writing, customer support, analytics, and coding to revolutionize your workflows.| Amazon Web Services
Top 35 AWS consulting companies in Canada: 1. Euristiq · 2. Autimo · 3. Qalius · Lucrodyne · RootQuotinent · Osedea · Ingeno · Jot Digital · OpsGuru.| Euristiq
In this post, we explore the Amazon Bedrock baseline architecture and how you can secure and control network access to your various Amazon Bedrock capabilities within AWS network services and tools. We discuss key design considerations, such as using Amazon VPC Lattice auth policies, Amazon Virtual Private Cloud (Amazon VPC) endpoints, and AWS Identity and Access Management (IAM) to restrict and monitor access to your Amazon Bedrock capabilities.| Amazon Web Services
Reference documentation for the Heroku Managed Inference and Agents add-on.| devcenter.heroku.com
Features include Dialogue Boost, improved personalized recommendations, recaps of your favorite shows, and new live sports insights.| www.aboutamazon.com
Novel architectures and carefully prepared training data enable state-of-the-art performance.| Amazon Science
Check out performance features, code implementation, and cost comparisons of 2025's AI APIs. Find which model best fits your technical requirements.| Builder.io
Collaborate and create with your own AI-powered text editor| ckeditor.com
Whether you’re a product engineer, a product manager, or an engineering executive, you’ve probably been pushed to consider using Large Language Models (LLMs) to extend your product or enhance your processes. 2023-2024 is an interesting era for LLM adoption, where these capabilities have transitioned into the mainstream, with many companies worrying that they’re falling behind despite the fact that most integrations appear superficial. That context makes LLM adoption a great topic for a ...| lethain.com
What is Retrieval-Augmented Generation (RAG), how and why businesses use RAG AI, and how to use RAG with AWS.| Amazon Web Services, Inc.
Explore a new benchmark for large language models beyond Q&A tasks. Discover how LLMs compete in Street Fighter III using Amazon Bedrock| Community.aws
In short The generative AI market surpassed $25.6 billion in 2024, driven by rapid adoption and the increasing integration of AI capabilities across industries, according to the 263-page Generative AI Market Report 2025–2030 (published January 2025). The data center GPU market saw remarkable growth to $125 billion, with NVIDIA maintaining a dominant position, holding 92% of the market share. Microsoft and AWS lead the rapidly expanding foundation models and model management platforms marke...| IoT Analytics