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From API to AGI: Structured Outputs, OpenAI API platform and O1 Q&A β with Michelle Pokrass & OpenAI Devrel + Strawberry team
Our episode on all of OpenAI's new models and 2 new paradigms for inference.
Sep 13
18
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From API to AGI: Structured Outputs, OpenAI API platform and O1 Q&A β with Michelle Pokrass & OpenAI Devrel + Strawberry team
www.latent.space
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2:02:58
Efficiency is Coming: 3000x Faster, Cheaper, Better AI Inference from Hardware Improvements, Quantization, and Synthetic Data Distillation
NVIDIA, Convai, and Google's Nyla Worker on the brutally efficient drivers of production AI inference - where we've been, and where LLMs are likely toβ¦
Sep 3
14
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Efficiency is Coming: 3000x Faster, Cheaper, Better AI Inference from Hardware Improvements, Quantization, and Synthetic Data Distillation
www.latent.space
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1
1:05:18
August 2024
Why you should write your own LLM benchmarks β with Nicholas Carlini, Google DeepMind
Stealing OpenAI models, why LLM benchmarks are useless for you, how to find value in using AI, and how they poisoned LAION with expired domains
Aug 29
26
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Why you should write your own LLM benchmarks β with Nicholas Carlini, Google DeepMind
www.latent.space
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1:10:05
Is finetuning GPT4o worth it? β with Alistair Pullen, Cosine (Genie)
How Cosine Genie reached 50% on SWE-Bench Lite, 30% on the full SWE-Bench, and 44% on OpenAI's new SWE-Bench Verified, all state of the art results byβ¦
Aug 22
17
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Is finetuning GPT4o worth it? β with Alistair Pullen, Cosine (Genie)
www.latent.space
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2
1:05:19
AI Magic: Shipping 1000s of successful products with no managers and a team of 12 β Jeremy Howard of Answer.ai
Why Answer is a PBC, going from QLoRA to QDoRA, updating BERT for 2025, creating FastHTML, predicting the OpenAI governance crisis, and a preview of theβ¦
Aug 16
24
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AI Magic: Shipping 1000s of successful products with no managers and a team of 12 β Jeremy Howard of Answer.ai
www.latent.space
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58:56
Segment Anything 2: Demo-first Model Development
Don't bother keeping absolutely still: This vision model has memory now! Covering SAM 2 with Nikhila Ravi of Facebook AI Research, and special returningβ¦
Aug 7
20
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Segment Anything 2: Demo-first Model Development
www.latent.space
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2
1:03:29
The Winds of AI Winter (Q2 Four Wars Recap) + ChatGPT Voice Mode Preview
Celebrating 1m downloads! Discussing the Frontier Labs vibe shift between Claude 3.5, Llama 3.1, Apple Intelligence, and the expansion of RAG/Ops intoβ¦
Aug 2
15
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The Winds of AI Winter (Q2 Four Wars Recap) + ChatGPT Voice Mode Preview
www.latent.space
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1
1:55:00
July 2024
Llama 2, 3 & 4: Synthetic Data, RLHF, Agents on the path to Open Source AGI
Llama 2 lead and Llama 3 post-training lead Thomas Scialom of Meta/FAIR, on the Chinchilla trap, why Synthetic Data and RLHF works, and how Llama4'sβ¦
Jul 23
34
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Llama 2, 3 & 4: Synthetic Data, RLHF, Agents on the path to Open Source AGI
www.latent.space
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2
1:05:06
The Winds of AI Winter
Mar-Jun 2024 Recap: People are raising doubts about AI Summer. Here's why AI Engineers are the solution.
Jul 22
43
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The Winds of AI Winter
www.latent.space
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2
Benchmarks 201: Why Leaderboards > Arenas >> LLM-as-Judge
ClΓ©mentine Fourier of HuggingFace on why you should stop using LLMs as Judges, what comes after MMLU, how prompts formatting sways benchmark resultsβ¦
Jul 12
16
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Benchmarks 201: Why Leaderboards > Arenas >> LLM-as-Judge
www.latent.space
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58:28
The 10,000x Yolo Researcher Metagame β with Yi Tay of Reka
Becoming PaLM2 co-lead at Google Brain, training frontier LLMs entirely from ground up in the wilderness as a startup, and playing the AI researchβ¦
Jul 5
18
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The 10,000x Yolo Researcher Metagame β with Yi Tay of Reka
www.latent.space
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1:44:38
June 2024
State of the Art: Training >70B LLMs on 10,000 H100 clusters
Josh Albrecht, CTO of Imbue, and Jon Frankle, Chief AI Scientist of Databricks, dish on what it takes to train the largest models on the largestβ¦
Jun 25
Β
β’
Β
Josh Albrecht
Β andΒ
Jon Frankle
15
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State of the Art: Training >70B LLMs on 10,000 H100 clusters
www.latent.space
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6
1:21:49
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