Context Card: Without a skill, Claude Code adds Langfuse using stale pre-training context, ships broken instrumentation, then catches the failure ... Brian Anthony Associate Director, MIT.nano Director of Technical Operations, Center for Clinical and Translational Research ...

Episode 65 Scaling Ai In Engineering With Alexander Krumm And Prof Dr Thomas Meenken - General Essential Details

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Jeff Evernham, Chief Product Officer - Sinequa by ChapsVision As enterprises race to implement agentic Without a skill, Claude Code adds Langfuse using stale pre-training context, ships broken instrumentation, then catches the failure ... Brian Anthony Associate Director, MIT.nano Director of Technical Operations, Center for Clinical and Translational Research ...

Guide Before You Continue

Brian Anthony Associate Director, MIT.nano Director of Technical Operations, Center for Clinical and Translational Research ... Meet Generalist, the startup that says the next big leap in robotics won't come from fancier humanoid hardware.

Browse Summary for Readers

Function Gemma ships at 270 million parameters and processes nearly 2000 tokens per second prefill on a Pixel 7. Learn more about GraphRAG here → Context is the biggest bottleneck in getting

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  • Brian Anthony Associate Director, MIT.nano Director of Technical Operations, Center for Clinical and Translational Research ...
  • Without a skill, Claude Code adds Langfuse using stale pre-training context, ships broken instrumentation, then catches the failure ...
  • Function Gemma ships at 270 million parameters and processes nearly 2000 tokens per second prefill on a Pixel 7.
  • Meet Generalist, the startup that says the next big leap in robotics won't come from fancier humanoid hardware.
  • Jeff Evernham, Chief Product Officer - Sinequa by ChapsVision As enterprises race to implement agentic
  • Learn more about GraphRAG here → Context is the biggest bottleneck in getting

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Visual Context

[Episode 65] - Scaling AI in Engineering with Alexander Krumm and Prof. Dr. Thomas Meenken
From 46% to 90%: Fine-Tuning Tiny LLMs for On-Device Agents — Cormac Brick, Google
This Startup Is Pioneering The Next Massive Tech Boom: Physical AI
Fundamentals of AI Engineering: Models and Their Limits
How RAG, GraphRAG, and Context Engineering Improve AI Performance
Scaling AI for Real-World Implementation and Impact | Brian Anthony
AI-Powered Engineering - IP business talk with Thomas Meenken and Rik Rasor
Keynote: Enterprise Agentic AI at Scale: A Case Study
Skill issue: Lessons from skilling up coding agents to use Langfuse - Marc Klingen, Clickhouse
Why RAG Must Be Understood as a Connected System, Not Separate Components - AGENTIC AI INTERVIEW
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[Episode 65] - Scaling AI in Engineering with Alexander Krumm and Prof. Dr. Thomas Meenken

[Episode 65] - Scaling AI in Engineering with Alexander Krumm and Prof. Dr. Thomas Meenken

Read more details and related context about [Episode 65] - Scaling AI in Engineering with Alexander Krumm and Prof. Dr. Thomas Meenken.

From 46% to 90%: Fine-Tuning Tiny LLMs for On-Device Agents — Cormac Brick, Google

From 46% to 90%: Fine-Tuning Tiny LLMs for On-Device Agents — Cormac Brick, Google

Function Gemma ships at 270 million parameters and processes nearly 2000 tokens per second prefill on a Pixel 7. Out of the box ...

This Startup Is Pioneering The Next Massive Tech Boom: Physical AI

This Startup Is Pioneering The Next Massive Tech Boom: Physical AI

Meet Generalist, the startup that says the next big leap in robotics won't come from fancier humanoid hardware. It will come from ...

Fundamentals of AI Engineering: Models and Their Limits

Fundamentals of AI Engineering: Models and Their Limits

Read more details and related context about Fundamentals of AI Engineering: Models and Their Limits.

How RAG, GraphRAG, and Context Engineering Improve AI Performance

How RAG, GraphRAG, and Context Engineering Improve AI Performance

Learn more about GraphRAG here → Context is the biggest bottleneck in getting

Scaling AI for Real-World Implementation and Impact | Brian Anthony

Scaling AI for Real-World Implementation and Impact | Brian Anthony

Brian Anthony Associate Director, MIT.nano Director of Technical Operations, Center for Clinical and Translational Research ...

AI-Powered Engineering - IP business talk with Thomas Meenken and Rik Rasor

AI-Powered Engineering - IP business talk with Thomas Meenken and Rik Rasor

This is a recording of the IP business talk from 19.11.2025 with

Keynote: Enterprise Agentic AI at Scale: A Case Study

Keynote: Enterprise Agentic AI at Scale: A Case Study

Jeff Evernham, Chief Product Officer - Sinequa by ChapsVision As enterprises race to implement agentic

Skill issue: Lessons from skilling up coding agents to use Langfuse - Marc Klingen, Clickhouse

Skill issue: Lessons from skilling up coding agents to use Langfuse - Marc Klingen, Clickhouse

Without a skill, Claude Code adds Langfuse using stale pre-training context, ships broken instrumentation, then catches the failure ...

Why RAG Must Be Understood as a Connected System, Not Separate Components - AGENTIC AI INTERVIEW

Why RAG Must Be Understood as a Connected System, Not Separate Components - AGENTIC AI INTERVIEW

Most people learn RAG as separate parts: Embedding. Chunking. Vector databases. Retrieval. Prompting. Generation. But in real ...