DeepEyesV2 outperforms bigger rivals by favoring tools over sheer knowledge
Chinese researchers have built a multimodal AI model that can analyze images, run code, and search the web. Instead of relying on knowledge acquired during training, DeepEyesV2 boosts performance by using external tools intelligently, allowing it to outperform larger models in many cases.<br /> The article DeepEyesV2 outperforms bigger rivals by favoring tools over sheer knowledge appeared first on THE DECODER. [...]
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Enterprise AI agents are only as reliable as the messiest documents behind them
Enterprise AI has largely been built around context engineering. Teams connect enterprise systems, generate chunks and embeddings, build retrieval pipelines, and assemble the context needed by individ [...]
OpenAI launches company knowledge in ChatGPT, letting you access your firm's data from Google Drive, Slack, GitHub
Is the Google Search for internal enterprise knowledge finally here...but from OpenAI? It certainly seems that way. Today, OpenAI has launched company knowledge in ChatGPT, a major new capability for [...]
MIT's MeMo lets teams swap in a better LLM without retraining — and performance jumps 26%
Enabling LLMs to acquire new knowledge after training remains a major hurdle for enterprise AI — current solutions are either too expensive, too slow, or constrained by context window limits.MeMo, a [...]
MeMo's memory model lets teams upgrade their LLM without retraining it — and performance jumps 26%
Enabling LLMs to acquire new knowledge after training remains a major hurdle for enterprise AI — current solutions are either too expensive, too slow, or constrained by context window limits.MeMo, a [...]
AI for transformation: How SAP’s Joule for Consultants reimagines project delivery
Presented by SAPSAP’s AI solution, Joule, has already transformed how business users work — turning siloed data and tasks into intelligent, connected workflows. But consultants on SAP projects fac [...]
The RAG era is ending for agentic AI — a new compilation-stage knowledge layer is what comes next
The vector database category is undergoing a shift in response to the needs of agentic AI. The retrieval-augmented generation (RAG)-to-vector database pipeline doesn't cut it anymore; agentic AI [...]
Karpathy shares 'LLM Knowledge Base' architecture that bypasses RAG with an evolving markdown library maintained by AI
AI vibe coders have yet another reason to thank Andrej Karpathy, the coiner of the term. The former Director of AI at Tesla and co-founder of OpenAI, now running his own independent AI project, recent [...]