

We’re taking a look at the research paper, LLMs can easily learn to reason from demonstration (Li et al., 2025), in this week’s community research spotlight. It focuses on how the structure of reasoning traces impacts distillation from models such as DeepSeek R1. What’s the big idea regarding LLM reasoning distillation? The reasoning capabilities of powerful models such as DeepSeek…


GenAI needs fine-grained evaluation for AI teams to gain actionable insights.


Specialized GenAI evaluation ensures AI assistants meet business requirements, SME expertise, and industry regulations—critical for production-ready AI.


Ensure your LLMs align with your values and goals using LLM alignment techniques. Learn how to mitigate risks and optimize performance.


Learn how ARR improves QA accuracy in LLMs through intent analysis, retrieval, and reasoning. Is intent the key to smarter AI? Explore ARR results!


Unlock possibilities for your enterprise with LLM distillation. Learn how distilled, task-specific models boost performance and shrink costs.


Discover common RAG failure modes and how to fix them. Learn how to optimize retrieval-augmented generation systems for max business value.


Learn about large language model (LLM) alignment and how it maximizes the effectiveness of AI outputs for organizations.


Discover the power of integrating Databricks and Snorkel Flow for efficient data ingestion, labeling, model development, and AI deployment.





