Jay Alammar
where else to find them
what they talk about
all 5 in the filters
where they keep going back
- PyData London2 editions2022–2025
on a stage with
- Jason Lopateckionce
who talks about the same things
- Andreas Buhlmeier5 talks
- Alison Walters9 talks
- Ritesh Modi6 talks
- Prakash Tripathi5 talks
- Ezequiel Lanza21 talks
- Henk Boelman20 talks
| title | conference | date |
|---|---|---|
| From Next Token Prediction to Reasoning and Beyond | PyData London 2025 | 2025-06-06 |
Claims concrete improvements: models move from next-token training to multi-step reasoning by combining SFT then RL for reasoning with tool-enabled rollouts. A… | ||
| Model innovation & evaluation with model partners Q&A | Microsoft Build 2024 | 2024-05-21 |
Discussion recommends using LMs to judge other LMs and insists on production-grade observability to collect traces and evaluations. RAG is decomposed into… | ||
| Deepen strategic enterprise collaboration with Mural and Microsoft | Microsoft Build 2024 | 2024-05-21 |
Mural runs on Azure since day one and can count dollar-for-dollar toward an enterprise Azure commitment, with a Teams app that won Partner of the Year 2022 and… | ||
| Empower your organization with production-ready RAG apps on Azure | Microsoft Build 2024 | 2024-05-21 |
Cohere claims production-ready RAG using Command R and Command R+ models deployed on Azure, with an embedder called Embed v3 (100+ languages) plus a reranker… | ||
| Automate complex workflows with multi-step tool use | Microsoft Build 2024 | 2024-05-21 |
See how developers can unlock new dimensions of functionality and flexibility. Cohere’s Tool Use takes Retrieval-Augmented Generation (RAG) to the next level… | ||
| Building LLM Agents with Tool Use | Microsoft Build 2024 | 2024-05-21 |
Demonstrates building an LLM-backed agent that connects Cohere Command R+ to external tools via LangChain and a web-search API (Tavily) plus a Python… | ||
| Large Language Models for Real-World Applications - A Gentle Intro | PyData London 2022 | 2022-06-17 |
Jay Alammar Presents:
Large Language Models for Real-World Applications - A Gentle Intro
Machine language understanding and generation has been undergoing… | ||
| nothing matches | ||