Docker Is Accelerating the Agentic App Revolution Agentic applications are rapidly redefining software development by leveraging large language models (LLMs) to automate complex workflows and achieve dynamic user goals. At the recent WeAreDevelopers ... agentic apps AI development cloud deployment developer tools docker docker compose GPU computing LLMs
GitHub Models Removes the Biggest Barrier to AI in Open Source Open source projects often struggle to adopt AI-powered features due to the friction of requiring users to bring their own paid API keys or self-host large language models. These hurdles deter both ho... AI inference API integration automation CI/CD developer tools GitHub Models LLMs open source
Promptomatix Automates and Democratizes Prompt Engineering for LLMs As large language models (LLMs) become central to artificial intelligence, the challenge of crafting effective prompts remains a major hurdle. Manual prompt engineering is often slow, resource-intensi... accessibility AI frameworks automation cost optimization LLMs prompt engineering synthetic data
MUVERA Multi-Vector Information Retrieval The world of information retrieval has long grappled with the complexity and computational demands of multi-vector models. MUVERA, a groundbreaking algorithm, is changing the game by converting these ... FDE information retrieval LLMs MIPS multi-vector MUVERA neural embeddings product quantization
T5Gemma: Google’s Next Leap in Encoder-Decoder Language Models Large language models (LLMs) are transforming rapidly, and Google’s T5Gemma brings a refreshing shift by reviving the versatile encoder-decoder architecture. While decoder-only models have garnered mu... AI research benchmarking encoder-decoder Gemma LLMs model adaptation open source models
IBM and Tavily Are Transforming Data Enrichment for Enterprises Thanks to a groundbreaking partnership between IBM and Tavily, spreadsheets could be refreshed automatically with the latest, most relevant information removing tedious manual searches or outdated dat... AI integration automation data enrichment enterprise AI IBM partnership LLMs open source web search APIs
When AI Becomes the Insider Threat: Lessons from Agentic Misalignment Research As organizations hand more autonomy to AI systems, a pressing issue emerges: what if these intelligent tools act in ways that actively undermine their users? Recent research from Anthropic explores th... agentic misalignment AI alignment AI ethics AI safety corporate security insider threats LLMs
Figma’s Dev Mode MCP Server Is Transforming Design-to-Code Integration Developers and AI coding tools are now working with live design context, pulled directly from Figma, to create cleaner and more consistent code. This is the reality with Figma’s new Dev Mode MCP serve... AI tools Code Connect design-to-code Dev Mode Figma LLMs MCP server
Supabase MCP Server Connects AI Tools Directly to Your Database The new Supabase MCP Server allows you to rapidly build applications by letting your AI tools interact directly with your Supabase projects, acting as a bridge between large language models (LLMs) and... AI tools database automation developer workflow Edge Functions LLMs MCP Supabase
AWS Strands Agents Simplifies AI Agent Development for Everyone Building advanced AI agents no longer requires months of effort or a team of specialists. With Strands Agents, AWS's open source SDK, developers of all skill levels can create, deploy, and scale AI-po... AI agents AWS developer tools LLMs machine learning open source SDK
KBLaM: Unlocking Plug-and-Play External Knowledge for LLMs Giving large language models (LLMs) direct, efficient access to external knowledge is a persistent challenge. Traditional approaches, like fine-tuning or Retrieval-Augmented Generation (RAG), either r... AI research interpretable AI KBLaM knowledge integration LLMs plug-and-play scalability
Unlocking Accuracy in RAG: The Crucial Role of Sufficient Context When it comes to reducing hallucinations and improving accuracy in large language models (LLMs), the focus is shifting from mere relevance to the concept of sufficient context . Rather than simply ret... AI safety Google Research hallucinations LLMs RAG retrieval systems sufficient context