Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences Tune in to the Paper Club today to cover Shreya's latest hit with @eugeneyan
! link below
@latentspacepod
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LLM Validators Alignment Human Preferences Evaluation
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Ultimate Guide to Prompting Techniques and arXiv Navigation
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🆕 The Ultimate Guide to Promptinghttps://t.co/j0wMstDJ2Q
— Latent.Space (@latentspacepod) 20 septembre 2024
with @sanderschulhoff of @LearnPrompting and The Prompt Report!
Timestamps
[00:00:00] Introductions
[00:07:32] Navigating arXiv for paper evaluation
[00:12:23] Taxonomy of prompting techniques
[00:15:46] Zero-shot… pic.twitter.com/x8ZP1UomG7The Ultimate Guide to Prompting https://
latent.space/p/learn-prompt
ing
… with @sanderschulhoff of @LearnPrompting and The Prompt Report! Timestamps
[00:00:00] Introductions
[00:07:32] Navigating arXiv for paper evaluation
[00:12:23] Taxonomy of prompting techniques
[00:15:46] Zero-shot -
Curated List of Top AI Podcasts and Newsletters
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full list https://
github.com/swyxio/ai-note
s/blob/main/Resources/GoodAIPodcastsandNewsletters.md
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Share Your Favorite AI Podcasts
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share your fave ai pods! we are friends with many. our list below
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OpenAI API Platform: Structured Outputs, GPT-4o and O1 Discussion
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🆕 pod: From API to AGI: Structured Outputs, OpenAI API platform and O1 Q&A
— Latent.Space (@latentspacepod) 13 septembre 2024
Our @openai weekend special!https://t.co/qbnlBAk6af
– 1hr convo with @michpokrass on Structured Outputs, ChatGPT-latest, gpt-4o, Assistants API, Voice Mode and ALL your other API questions and war… pic.twitter.com/pfuK0M6PS9pod: From API to AGI: Structured Outputs, OpenAI API platform and O1 Q&A Our @openai weekend special! https://
latent.space/p/openai-api-a
nd-o1
… – 1hr convo with @michpokrass on Structured Outputs, ChatGPT-latest, gpt-4o, Assistants API, Voice Mode and ALL your other API questions and war -

AI Inference Efficiency: 3000x Faster, Cheaper, Better
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pod: Efficiency is Coming: 3000x Faster, Cheaper, Better AI Inference with @nyla_worker of @nvidia
, @convaitech
, @googleai
! The commoditization of intelligence takes on a few dimensions: Time to Open Model Equivalent: 15 months between GPT-4 and Llama 3.1 405B (h/t -
Latent Space Podcast Episode with Carlini Video and Audio
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video: https://
youtube.com/watch?v=X8il0u
VIsFs
… audio: https://
latent.space/p/carlini we'd love your feedback! -

Writing Custom LLM Benchmarks with Nicholas Carlini
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🆕 Why you should write your own LLM benchmarks
— Latent.Space (@latentspacepod) 29 août 2024
w/ Nicholas Carlini of @GoogleDeepMind
Covering his greatest hits:
– How I Use AI
– My benchmark for large language models
– Extracting Training Data from Large Language Models (RIP @openai logprobs)
Full episode below! pic.twitter.com/TtVkNyIa9cWhy you should write your own LLM benchmarks w/ Nicholas Carlini of @GoogleDeepMind Covering his greatest hits:
– How I Use AI
– My benchmark for large language models
– Extracting Training Data from Large Language Models (RIP @openai logprobs) Full episode below! -

Speculative Decoding State of the Art Paper Club Discussion
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This is entirely speculative but… Tomorrow's LS paper club with @picocreator is going to be extremely lit! come learn about the state of the art in Speculative Decoding!