Beating Google at Search with Neural PageRank and $5M of H200s — with Will Bryk of Exa.ai
Building a new search engine on neural PageRank, why search should take 1 day, and why nap pods are important.
Timestamps
00:00:00 Introductions
00:01:12 ExaAI's initial pitch and concept
00:02:33 Will's background at SpaceX and Zoox
00:03:45 Evolution of ExaAI (formerly Metaphor Systems)
00:05:38 Exa's link prediction technology
00:09:20 Meaning of the name "Exa"
00:10:36 ExaAI's new product launch and capabilities
00:13:33 Compute budgets and variable compute products
00:14:43 Websets as a B2B offering
00:19:28 How do you build a search engine?
00:22:43 What is Neural PageRank?
…
Watch on YouTube ↗
(saves to browser)
Chapters (17)
Introductions
1:12
ExaAI's initial pitch and concept
2:33
Will's background at SpaceX and Zoox
3:45
Evolution of ExaAI (formerly Metaphor Systems)
5:38
Exa's link prediction technology
9:20
Meaning of the name "Exa"
10:36
ExaAI's new product launch and capabilities
13:33
Compute budgets and variable compute products
14:43
Websets as a B2B offering
19:28
How do you build a search engine?
22:43
What is Neural PageRank?
27:58
Exa use cases
35:00
Auto-prompting
38:42
Building agentic search
44:19
Is o1 on the path to AGI?
49:59
Company culture and nap pods
54:52
Economics of AI search and the future of search technology
Playlist
Uploads from Latent Space · Latent Space · 0 of 60
← Previous
Next →
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
Ep 18: Petaflops to the People — with George Hotz of tinycorp
Latent Space
FlashAttention-2: Making Transformers 800% faster AND exact
Latent Space
RWKV: Reinventing RNNs for the Transformer Era
Latent Space
Generating your AI Media Empire - with Youssef Rizk of Wondercraft.ai
Latent Space
RAG is a hack - with Jerry Liu of LlamaIndex
Latent Space
The End of Finetuning — with Jeremy Howard of Fast.ai
Latent Space
Why AI Agents Don't Work (yet) - with Kanjun Qiu of Imbue
Latent Space
Powering your Copilot for Data - with Artem Keydunov from Cube.dev
Latent Space
Beating GPT-4 with Open Source Models - with Michael Royzen of Phind
Latent Space
The State of Silicon and the GPU Poors - with Dylan Patel of SemiAnalysis
Latent Space
The "Normsky" architecture for AI coding agents — with Beyang Liu + Steve Yegge of SourceGraph
Latent Space
The AI-First Graphics Editor - with Suhail Doshi of Playground AI
Latent Space
The Accidental AI Canvas - with Steve Ruiz of tldraw
Latent Space
The Origin and Future of RLHF: the secret ingredient for ChatGPT - with Nathan Lambert
Latent Space
The Four Wars of the AI Stack - Dec 2023 Recap
Latent Space
The State of AI in production — with David Hsu of Retool
Latent Space
Building an open AI company - with Ce and Vipul of Together AI
Latent Space
Truly Serverless Infra for AI Engineers - with Erik Bernhardsson of Modal
Latent Space
A Brief History of the Open Source AI Hacker - with Ben Firshman of Replicate
Latent Space
Open Source AI is AI we can Trust — with Soumith Chintala of Meta AI
Latent Space
Making Transformers Sing - with Mikey Shulman of Suno
Latent Space
A Comprehensive Overview of Large Language Models - Latent Space Paper Club
Latent Space
Why Google failed to make GPT-3 -- with David Luan of Adept
Latent Space
Personal AI Meetup - Bee, BasedHardware, LangChain LangFriend, Deepgram EmilyAI
Latent Space
Supervise the Process of AI Research — with Jungwon Byun and Andreas Stuhlmüller of Elicit
Latent Space
Breaking down the OG GPT Paper by Alec Radford
Latent Space
High Agency Pydantic over VC Backed Frameworks — with Jason Liu of Instructor
Latent Space
This World Does Not Exist — Joscha Bach, Karan Malhotra, Rob Haisfield (WorldSim, WebSim, Liquid AI)
Latent Space
LLM Asia Paper Club Survey Round
Latent Space
How to train a Million Context LLM — with Mark Huang of Gradient.ai
Latent Space
How AI is Eating Finance - with Mike Conover of Brightwave
Latent Space
How To Hire AI Engineers (ft. James Brady and Adam Wiggins of Elicit)
Latent Space
State of the Art: Training 70B LLMs on 10,000 H100 clusters
Latent Space
The 10,000x Yolo Researcher Metagame — with Yi Tay of Reka
Latent Space
Training Llama 2, 3 & 4: The Path to Open Source AGI — with Thomas Scialom of Meta AI
Latent Space
[LLM Paper Club] Llama 3.1 Paper: The Llama Family of Models
Latent Space
Synthetic data + tool use for LLM improvements 🦙
Latent Space
RLHF vs SFT to break out of local maxima 📈
Latent Space
The Winds of AI Winter (Q2 Four Wars of the AI Stack Recap)
Latent Space
Segment Anything 2: Memory + Vision = Object Permanence — with Nikhila Ravi and Joseph Nelson
Latent Space
Answer.ai & AI Magic with Jeremy Howard
Latent Space
Is finetuning GPT4o worth it?
Latent Space
Personal benchmarks vs HumanEval - with Nicholas Carlini of DeepMind
Latent Space
Building AGI with OpenAI's Structured Outputs API
Latent Space
Q* for model distillation 🍓
Latent Space
Finetuning LoRAs on BILLIONS of tokens 🤖
Latent Space
Cursor UX team is CRACKED 💻
Latent Space
Choosing the BEST OpenAI model 🏆
Latent Space
How will OpenAI voice mode change API design?
Latent Space
Ephemeral software FOR YOU 💻
Latent Space
STEALING OpenAI models data 🥷
Latent Space
Models can do MORE than what you ask for 🤖
Latent Space
[Paper Club] 🍓 On Reasoning: Q-STaR and Friends!
Latent Space
[Paper Club] Writing in the Margins: Chunked Prefill KV Caching for Long Context Retrieval
Latent Space
The Ultimate Guide to Prompting - with Sander Schulhoff from LearnPrompting.org
Latent Space
llm.c's Origin and the Future of LLM Compilers - Andrej Karpathy at CUDA MODE
Latent Space
Prompt Engineer is NOT a job 📝
Latent Space
Prompt Mining LLMs for better prompts ⛏️
Latent Space
The six pillars of few-shot prompting 🔧
Latent Space
Language Agents: From Reasoning to Acting — with Shunyu Yao of OpenAI, Harrison Chase of LangGraph
Latent Space
DeepCamp AI