AlignEval: Building an App to Make Evals Easy, Fun, and Automated
Look at and label your data, build and evaluate your LLM-evaluator, and optimize it against your labels.
280 stories
Look at and label your data, build and evaluate your LLM-evaluator, and optimize it against your labels.
Being a human judge at the Weights & Biases LLM-as-a-Judge Hackathon
Use cases, techniques, alignment, finetuning, and critiques against LLM-evaluators.
Special double-feature closing keynote from the 6 authors of the hit O'Reilly article on Applied LLMs.
Challenges and lessons from deploying LLM experiences: evals, scalability, guardrails.
Structured input/output, prefilling, n-shots prompting, chain-of-thought, reducing hallucinations, etc.
The AI revolution drove frenzied investment in both private and public companies and captured the public’s imagination in 2023. Transformational consumer products like ChatGPT are powered by Large Language Models (LLMs) that excel at modeling sequences of tokens that represent words or parts of…
Exploring the utility of large language models in autonomous driving: Can they be trusted for self-driving cars, and what are the key challenges?
'Vec2text' can serve as a solution for accurately reverting embeddings back into text, thus highlighting the urgent need for revisiting security protocols around embedded data.
Learn how to leverage Large language models (LLMs) to augment your ML systems in a practical application: recommendation systems.
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