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Edge 450: Can LLM Sabotage Human Evaluations
New research from Anthropic provides some interesting ideas in this area.
The Sequence Chat: The End of Data. Or Maybe Not
One of the most passionate arguments in generative AI.
Edge 449: Getting Into Adversarial Distillation
A way to distill models using inspiration from GANs.
The Toughest Math Benchmark Ever Built
Frontier Math approach math reasoning in LLMs from a different perspective.
📽 Webinar: How Convirza Scaled SLMs for Real-Time Call Analytics – Without Breaking the Bank
Companies that rely on analyzing high volumes of data face a core dilemma: how to deliver real-time insights without burning through budget or…
Edge 448: Meta AI's Technique For Building LLMs that "Think Before they Speak"
Thought Preference Optimization can set the baseline for building reasoning LLMs.
The Sequence Chat: Small Specialists vs. Large Generalist Models and What if NVIDIA Becomes Sun Microsystems
A controversial debate and a crazy thesis.
Edge 447: Not All Model Distillations are Created Equal
Understanding the different types of model distillation.
Microsoft's New Framework for Multi-Agent Systems
Magentic-One streamlines the implementation of multi-agent systems for solving complex tasks.
Edge 446: Can AI Build AI Systems? Inside OpenAI's MLE-Bench
A new benchmark that evaluates machine learning engineering workflows in LLMs
Edge 445: A New Series About Knowledge Distillation
In this issue:
Robotics is Inching Towards it ChatGPT Moment
Major developments in robotics from NVIDIA, Meta and MIT.
© 2024 Jesus Rodriguez
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