How To Hire AI Engineers (ft. James Brady and Adam Wiggins of Elicit)
Skills:
LLM Foundations80%LLM Engineering80%Prompt Craft70%Tool Use & Function Calling70%ML Maths Basics60%
One of the top reasons we have hundreds of companies and thousands of AI Engineers joining the World’s Fair next week is, apart from discussing technology and being present for the big launches planned, to hire and be hired!
Listeners loved our previous Elicit episode and were so glad to welcome 2 more members of Elicit back for a guest post (and bonus podcast) on how they think through hiring. Don’t miss their AI engineer job description, and template which you can use to create your own hiring plan!
https://www.latent.space/p/hiring
[00:00:00] Intros
[00:05:25] Defining the Hiring Process
[00:08:42] Defensive AI Engineering as a chaotic medium
[00:10:26] Tech Choices for Defensive AI Engineering
[00:14:04] How do you Interview for Defensive AI Engineering
[00:19:25] Does Model Shadowing Work?
[00:22:29] Is it too early to standardize Tech stacks?
[00:32:02] Capabilities: Offensive AI Engineering
[00:37:24] AI Engineering Required Knowledge
[00:40:13] ML First Mindset
[00:45:13] AI Engineers and Creativity
[00:47:51] Inside of Me There Are Two Wolves
[00:49:58] Sourcing AI Engineers
[00:58:45] Parting Thoughts
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![[Paper Club] 🍓 On Reasoning: Q-STaR and Friends!](https://i.ytimg.com/vi/Y5-FeaFOEFM/mqdefault.jpg)
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Ep 18: Petaflops to the People — with George Hotz of tinycorp
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FlashAttention-2: Making Transformers 800% faster AND exact
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RWKV: Reinventing RNNs for the Transformer Era
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Generating your AI Media Empire - with Youssef Rizk of Wondercraft.ai
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RAG is a hack - with Jerry Liu of LlamaIndex
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The End of Finetuning — with Jeremy Howard of Fast.ai
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Why AI Agents Don't Work (yet) - with Kanjun Qiu of Imbue
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Powering your Copilot for Data - with Artem Keydunov from Cube.dev
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Beating GPT-4 with Open Source Models - with Michael Royzen of Phind
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The State of Silicon and the GPU Poors - with Dylan Patel of SemiAnalysis
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The "Normsky" architecture for AI coding agents — with Beyang Liu + Steve Yegge of SourceGraph
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The AI-First Graphics Editor - with Suhail Doshi of Playground AI
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The Accidental AI Canvas - with Steve Ruiz of tldraw
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The Origin and Future of RLHF: the secret ingredient for ChatGPT - with Nathan Lambert
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The Four Wars of the AI Stack - Dec 2023 Recap
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The State of AI in production — with David Hsu of Retool
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Building an open AI company - with Ce and Vipul of Together AI
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Truly Serverless Infra for AI Engineers - with Erik Bernhardsson of Modal
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A Brief History of the Open Source AI Hacker - with Ben Firshman of Replicate
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Open Source AI is AI we can Trust — with Soumith Chintala of Meta AI
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Making Transformers Sing - with Mikey Shulman of Suno
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A Comprehensive Overview of Large Language Models - Latent Space Paper Club
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Why Google failed to make GPT-3 -- with David Luan of Adept
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Personal AI Meetup - Bee, BasedHardware, LangChain LangFriend, Deepgram EmilyAI
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Supervise the Process of AI Research — with Jungwon Byun and Andreas Stuhlmüller of Elicit
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Breaking down the OG GPT Paper by Alec Radford
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High Agency Pydantic over VC Backed Frameworks — with Jason Liu of Instructor
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This World Does Not Exist — Joscha Bach, Karan Malhotra, Rob Haisfield (WorldSim, WebSim, Liquid AI)
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LLM Asia Paper Club Survey Round
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How to train a Million Context LLM — with Mark Huang of Gradient.ai
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How AI is Eating Finance - with Mike Conover of Brightwave
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How To Hire AI Engineers (ft. James Brady and Adam Wiggins of Elicit)
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State of the Art: Training 70B LLMs on 10,000 H100 clusters
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The 10,000x Yolo Researcher Metagame — with Yi Tay of Reka
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Training Llama 2, 3 & 4: The Path to Open Source AGI — with Thomas Scialom of Meta AI
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[LLM Paper Club] Llama 3.1 Paper: The Llama Family of Models
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Synthetic data + tool use for LLM improvements 🦙
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RLHF vs SFT to break out of local maxima 📈
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The Winds of AI Winter (Q2 Four Wars of the AI Stack Recap)
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Segment Anything 2: Memory + Vision = Object Permanence — with Nikhila Ravi and Joseph Nelson
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Answer.ai & AI Magic with Jeremy Howard
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Is finetuning GPT4o worth it?
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Personal benchmarks vs HumanEval - with Nicholas Carlini of DeepMind
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Building AGI with OpenAI's Structured Outputs API
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Q* for model distillation 🍓
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Finetuning LoRAs on BILLIONS of tokens 🤖
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Cursor UX team is CRACKED 💻
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Choosing the BEST OpenAI model 🏆
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How will OpenAI voice mode change API design?
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STEALING OpenAI models data 🥷
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[Paper Club] 🍓 On Reasoning: Q-STaR and Friends!
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[Paper Club] Writing in the Margins: Chunked Prefill KV Caching for Long Context Retrieval
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The Ultimate Guide to Prompting - with Sander Schulhoff from LearnPrompting.org
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llm.c's Origin and the Future of LLM Compilers - Andrej Karpathy at CUDA MODE
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Prompt Engineer is NOT a job 📝
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Prompt Mining LLMs for better prompts ⛏️
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The six pillars of few-shot prompting 🔧
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Language Agents: From Reasoning to Acting — with Shunyu Yao of OpenAI, Harrison Chase of LangGraph
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[Paper Club] Who Validates the Validators? Aligning LLM-Judges with Humans (w/ Eugene Yan)
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Can you separate intelligence and knowledge?
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