DeepSeek’s R1 and OpenAI’s Deep Research just redefined AI — RAG, distillation, and custom models will never be the same
Things are moving quickly in AI — and if you’re not keeping up, you’re falling behind. Two recent developments are reshaping the landscape for developers and enterprises ali ...
Impacts11h
Why Сurrent LLMs Struggle to Integrate with Complex Data Lakes in Multi-agent Systems
Despite the latest AI advancements, Large Language Models (LLMs) continue to face challenges in their integration into the ...
GitHub6d
Multimodal RAG with FiftyOne, LlamaIndex, and Milvus
Retrieval augmentated generation (RAG) has grown increasingly popular as a way to improve the quality of text generated by large language models. Now that multimodal LLMs are in vouge, it's time to ...
Automation6d
Industry 5.0: People and Machines Interact in Real-time to Transform Manufacturing Processes
This real-time data is essentially event streams on the event mesh, flowing into Agents or RAG vector databases, keeping them up to date with real-time context. Event-driven integration can set up ...
GitHub6d
Bring AI to your favorite database!
Build, deploy and manage any AI application without the need for complex pipelines, infrastructure as well as specialized vector databases, and migrating data, by integrating AI at your data's source: ...