🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Only 33 days left to submit your paper to #SIGIRAP2025! Don't miss the abstract deadline.

Good questions to be thinking about.

🚀 Proud to introduce the Qwen3-Embedding and Qwen3-Reranker Series – setting new standards in multilingual text embedding and relevance ranking! ✨ Highlights: ✅ Available in 0.6B / 4B / 8B versions ✅ Supports 119 languages ✅ State-of-the-Art performance on MMTEB , MTEB ,

With vibe coding quickly becoming prevalent, we might want to maintain separate metadata, i.e. the full chat history over a file's / codebase's lifetime.

While many have said "RAG is dead", our vector search team has kept their eyes on the prize. 1B vectors? ez. Having colleagues that land inspiring work like this is one of the many reasons why Databricks is an amazing place for retrieval research! databricks.com/blog/announcin…

I went down a side quest of exploring the literature on interfaces for side-by-side comparisons. Thought it'd be fun to share my findings. 🧵

Databricks launches Free Edition! Explore and learn the latest data and AI technologies for free. Users can experiment with the full range of use cases – from building AI agents and applications to analyzing data with SQL – on the same platform used by millions of professionals.

Excited to launch Agent Bricks, a new way to build auto-optimized agents on your tasks. Agent Bricks uniquely takes a *declarative* approach to agent development: you tell us what you want, and we auto-generate evals and optimize the agent. databricks.com/blog/introduci…

Excited to finally announce what we've been working on for a year - MLflow 3.0: Unified AI Experimentation, Observability, and Governance 🚀 MLflow 3.0 enables continuous improvement of your AI systems through data, allowing you to trace, evaluation, and monitor your AI systems.

OK folks. I'm finally heading up to SF for DAIS, after finishing up some stuff 👀 Come to my DSPy 3.0 breakout at 5:20pm to learn what the team has been up to for the last few months and what's on the short-term roadmap. And let me know if we should find time to meet!

An approach to support All The Tasks by streamlining optimization and eval. 🔥🔥🔥

RNG Bench :)

Wondering today if people are actually going to cheat more because of AI, or cheating was always problem.

Deep Learning: Neural Nets >>> Feature Extraction RL: Rewards >>> Self-Supervised Learning Agents: Context >>>

always be indexing