Community Twist

Guest post: Why Not All VectorDBs Are Agent-Ready*

Guest post: Why AI Databases Don't Need SQL*

🔹 Ready to accelerate your AI innovation? The time is now.

Join us for this exclusive virtual event from AI innovators CoreWeave and NVIDIA to help us collaboratively redefine the future of AI

DeployCon SF: Free GenAI Summit ft. DoorDash, ConverseNow, and more

Guest Post: Open Recommender System Datasets – A Current Landscape

📍Shared vs Private LLMs: How to Unlock Improved Latency, Cost, and Control

join us at live webinar

Guest Post: Building a Self-Improving Agent with Arize Phoenix and DSPy

Using prompt optimization, evaluation, and observability to create an automated improvement process

Why NVIDIA Blackwell on CoreWeave [💡Webinar ]

Unlock the full potential of your AI innovations

How to Fine-tune DeepSeek with Reinforcement Learning [webinar]

eBook: Mastering AI Agents

Learn how to create powerful, reliable AI agents with Galileo's in-depth eBook

🌁#85: Curiosity, Open Source, and Timing: The Formula Behind DeepSeek’s Phenomenal Success

How an open-source mindset, relentless curiosity, and strategic calculation are rewriting the rules in AI and challenging Western companies, plus an excellent reading list and curated research collection

Guest post: Enhancing RAG with RA-DIT: A Fine-Tuning Approach to Minimize LLM Hallucinations*

RA-DIT, or Retrieval-Augmented Dual Instruction Tuning, is a method for fine-tuning both the LLM and the retriever in a RAG setup to enhance overall response quality