Open Questions for AI Engineering: Simon Willison

AI Engineer · Intermediate ·📊 Data Analytics & Business Intelligence ·2y ago
Recapping the past year in AI, and what open questions are worth pursuing in the next year! Covering local models, transparency, tool usage, prompt injection. Please will SOMEBODY solve these?? Recorded live in San Francisco at the AI Engineer Summit 2023. See the full schedule of talks at https://ai.engineer/summit/schedule & join us at the AI Engineer World's Fair in 2024! Get your tickets today at https://ai.engineer/worlds-fair About Simon Simon Willison is the creator of Datasette, an open source tool for exploring and publishing data. He currently works full-time building open source …
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1 AI Engineer Summit 2023 — DAY 1 Livestream
AI Engineer Summit 2023 — DAY 1 Livestream
AI Engineer
2 AI Engineer Summit 2023 — DAY 2 Livestream
AI Engineer Summit 2023 — DAY 2 Livestream
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3 Principles for Prompt Engineering - Karina Nguyen (Claude Instant @ Anthropic)
Principles for Prompt Engineering - Karina Nguyen (Claude Instant @ Anthropic)
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4 Announcing the AI Engineer Network: Benjamin Dunphy
Announcing the AI Engineer Network: Benjamin Dunphy
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5 The 1,000x AI Engineer: Swyx
The 1,000x AI Engineer: Swyx
AI Engineer
6 Building AI For All: Amjad Masad & Michele Catasta
Building AI For All: Amjad Masad & Michele Catasta
AI Engineer
7 The Future of Work: Toran Bruce Richards, Silen Naihin et al
The Future of Work: Toran Bruce Richards, Silen Naihin et al
AI Engineer
8 The Age of the Agent: Flo Crivello
The Age of the Agent: Flo Crivello
AI Engineer
9 See, Hear, Speak, Draw: Logan Kilpatrick & Simón Fishman
See, Hear, Speak, Draw: Logan Kilpatrick & Simón Fishman
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10 Building Context-Aware Reasoning Applications with LangChain and LangSmith: Harrison Chase
Building Context-Aware Reasoning Applications with LangChain and LangSmith: Harrison Chase
AI Engineer
11 Pydantic is all you need: Jason Liu
Pydantic is all you need: Jason Liu
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12 Building Blocks for LLM Systems & Products: Eugene Yan
Building Blocks for LLM Systems & Products: Eugene Yan
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13 The Intelligent Interface: Sam Whitmore & Jason Yuan of New Computer
The Intelligent Interface: Sam Whitmore & Jason Yuan of New Computer
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14 Climbing the Ladder of Abstraction: Amelia Wattenberger
Climbing the Ladder of Abstraction: Amelia Wattenberger
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15 Supabase Vector: The Postgres Vector database: Paul Copplestone
Supabase Vector: The Postgres Vector database: Paul Copplestone
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16 [Workshop] AI Engineering 101
[Workshop] AI Engineering 101
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17 The Hidden Life of Embeddings: Linus Lee
The Hidden Life of Embeddings: Linus Lee
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18 [Workshop] AI Engineering 201: Inference
[Workshop] AI Engineering 201: Inference
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19 The AI Pivot: With Chris White of Prefect & Bryan Bischof of Hex
The AI Pivot: With Chris White of Prefect & Bryan Bischof of Hex
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20 The AI Evolution: Mario Rodriguez, GitHub
The AI Evolution: Mario Rodriguez, GitHub
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21 Move Fast Break Nothing: Dedy Kredo
Move Fast Break Nothing: Dedy Kredo
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22 AI Engineering 201: The Rest of the Owl
AI Engineering 201: The Rest of the Owl
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23 Building Reactive AI Apps: Matt Welsh
Building Reactive AI Apps: Matt Welsh
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24 Pragmatic AI with TypeChat: Daniel Rosenwasser
Pragmatic AI with TypeChat: Daniel Rosenwasser
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25 Domain adaptation and fine-tuning for domain-specific LLMs: Abi Aryan
Domain adaptation and fine-tuning for domain-specific LLMs: Abi Aryan
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26 Retrieval Augmented Generation in the Wild: Anton Troynikov
Retrieval Augmented Generation in the Wild: Anton Troynikov
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27 Building Production-Ready RAG Applications: Jerry Liu
Building Production-Ready RAG Applications: Jerry Liu
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28 120k players in a week: Lessons from the first viral CLIP app: Joseph Nelson
120k players in a week: Lessons from the first viral CLIP app: Joseph Nelson
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29 The Weekend AI Engineer: Hassan El Mghari
The Weekend AI Engineer: Hassan El Mghari
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30 Harnessing the Power of LLMs Locally: Mithun Hunsur
Harnessing the Power of LLMs Locally: Mithun Hunsur
AI Engineer
31 Trust, but Verify: Shreya Rajpal
Trust, but Verify: Shreya Rajpal
AI Engineer
Open Questions for AI Engineering: Simon Willison
Open Questions for AI Engineering: Simon Willison
AI Engineer
33 Storyteller: Building Multi-modal Apps with TS & ModelFusion - Lars Grammel, PhD
Storyteller: Building Multi-modal Apps with TS & ModelFusion - Lars Grammel, PhD
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34 GPT Web App Generator - 10,000 apps created in a month: Matija Sosic
GPT Web App Generator - 10,000 apps created in a month: Matija Sosic
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35 Using AI to Build an Infinite Game: Jeff Schomay
Using AI to Build an Infinite Game: Jeff Schomay
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36 How to Become an AI Engineer from a Fullstack Background - Reid Mayo
How to Become an AI Engineer from a Fullstack Background - Reid Mayo
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37 The Code AI Maturity Model and What It Means For You: Ado Kukic
The Code AI Maturity Model and What It Means For You: Ado Kukic
AI Engineer
38 AI Engineer World’s Fair 2024 - Open Models track
AI Engineer World’s Fair 2024 - Open Models track
AI Engineer
39 AI Engineer World’s Fair 2024 — Keynotes & CodeGen Track
AI Engineer World’s Fair 2024 — Keynotes & CodeGen Track
AI Engineer
40 AI Engineer World’s Fair 2024 - Open Models track
AI Engineer World’s Fair 2024 - Open Models track
AI Engineer
41 AI Engineer World’s Fair 2024 — GPUs & Inference Track
AI Engineer World’s Fair 2024 — GPUs & Inference Track
AI Engineer
42 AI Engineer World’s Fair 2024 - Keynotes & Multimodality track
AI Engineer World’s Fair 2024 - Keynotes & Multimodality track
AI Engineer
43 From Text to Vision to Voice Exploring Multimodality with Open AI: Romain Huet
From Text to Vision to Voice Exploring Multimodality with Open AI: Romain Huet
AI Engineer
44 The Making of Devin by Cognition AI: Scott Wu
The Making of Devin by Cognition AI: Scott Wu
AI Engineer
45 The Future of Knowledge Assistants: Jerry Liu
The Future of Knowledge Assistants: Jerry Liu
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46 Llamafile: bringing AI to the masses with fast CPU inference: Stephen Hood and Justine Tunney
Llamafile: bringing AI to the masses with fast CPU inference: Stephen Hood and Justine Tunney
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47 Open Challenges for AI Engineering: Simon Willison
Open Challenges for AI Engineering: Simon Willison
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48 Lessons From A Year Building With LLMs
Lessons From A Year Building With LLMs
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49 From Software Developer to AI Engineer: Antje Barth
From Software Developer to AI Engineer: Antje Barth
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50 Unlocking Developer Productivity across CPU and GPU with MAX: Chris Lattner
Unlocking Developer Productivity across CPU and GPU with MAX: Chris Lattner
AI Engineer
51 Copilots Everywhere: Thomas Dohmke and Eugene Yan
Copilots Everywhere: Thomas Dohmke and Eugene Yan
AI Engineer
52 Fixing bugs in Gemma, Llama, & Phi 3: Daniel Han
Fixing bugs in Gemma, Llama, & Phi 3: Daniel Han
AI Engineer
53 Low Level Technicals of LLMs: Daniel Han
Low Level Technicals of LLMs: Daniel Han
AI Engineer
54 Emergence Launch: AI Agents and the future enterprise: Dr. Satya Nitta
Emergence Launch: AI Agents and the future enterprise: Dr. Satya Nitta
AI Engineer
55 How Codeium Breaks Through the Ceiling for Retrieval: Kevin Hou
How Codeium Breaks Through the Ceiling for Retrieval: Kevin Hou
AI Engineer
56 What's new from Anthropic and what's next: Alex Albert
What's new from Anthropic and what's next: Alex Albert
AI Engineer
57 Using agents to build an agent company: Joao Moura
Using agents to build an agent company: Joao Moura
AI Engineer
58 Decoding the Decoder LLM without de code: Ishan Anand
Decoding the Decoder LLM without de code: Ishan Anand
AI Engineer
59 Running AI Application in Minutes w/ AI Templates: Gabriela de Queiroz, Pamela Fox, Harald Kirschner
Running AI Application in Minutes w/ AI Templates: Gabriela de Queiroz, Pamela Fox, Harald Kirschner
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60 Building with Anthropic Claude: Prompt Workshop with Zack Witten
Building with Anthropic Claude: Prompt Workshop with Zack Witten
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