Structuring a modern AI team — Denys Linkov, Wisedocs
You've been given an AI mandate but don't have additional headcount, what next? Re-skilling, up-skilling and team augmentation become essential to delivering on a new mandate. In this talk we'll cover strategies to structure cross functional AI teams with domain experts, software engineers and ML engineers. We'll cover key skills and milestones that each traditional role can contribute to in unique ways.
---related links---
https://www.linkedin.com/in/denyslinkov/
Timestamps
00:00:00 - Introduction to Hiring a Modern AI Team
00:01:10 - The Anatomy of an AI Team and Company Types
00:03:38…
Watch on YouTube ↗
(saves to browser)
Chapters (19)
Introduction to Hiring a Modern AI Team
1:10
The Anatomy of an AI Team and Company Types
3:38
Technology as an Enabler, Not a Limiter
3:56
Do You Need to Hire an AI Researcher?
4:33
Ampere's Wager: Team vs. Researchers
5:07
What an AI Team Needs to Do
6:12
Identifying Your Bottleneck
6:48
The Evolution of a Generalist
7:03
Building the First Machine Learning Team
7:53
Prioritizing Skills: Model Training, Serving, and Business Acumen
9:16
Building the Second AI Team with Advanced Open Source Tools
10:45
Reskilling and Upskilling Existing Teams
10:55
Inner and Outer Loops of Team Activities
11:53
Winning with Generalists in Early AI Strategy
12:46
Upskilling, Reskilling, and Hiring for the AI Wave
14:11
When and Who to Hire
15:08
Verifying Trends and First Principles in Hiring
16:00
Asking Relevant Questions in Interviews
16:12
Reconsidering Ampere's Wager and Final Lessons
Playlist
Uploads from AI Engineer · AI Engineer · 0 of 60
← Previous
Next →
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
![[Workshop] AI Engineering 101](https://i.ytimg.com/vi/C0ZUdFg-iTo/mqdefault.jpg)
17
18
![[Workshop] AI Engineering 201: Inference](https://i.ytimg.com/vi/N7lJY5IKVLE/mqdefault.jpg)
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
AI Engineer Summit 2023 — DAY 1 Livestream
AI Engineer
AI Engineer Summit 2023 — DAY 2 Livestream
AI Engineer
Principles for Prompt Engineering - Karina Nguyen (Claude Instant @ Anthropic)
AI Engineer
Announcing the AI Engineer Network: Benjamin Dunphy
AI Engineer
The 1,000x AI Engineer: Swyx
AI Engineer
Building AI For All: Amjad Masad & Michele Catasta
AI Engineer
The Future of Work: Toran Bruce Richards, Silen Naihin et al
AI Engineer
The Age of the Agent: Flo Crivello
AI Engineer
See, Hear, Speak, Draw: Logan Kilpatrick & Simón Fishman
AI Engineer
Building Context-Aware Reasoning Applications with LangChain and LangSmith: Harrison Chase
AI Engineer
Pydantic is all you need: Jason Liu
AI Engineer
Building Blocks for LLM Systems & Products: Eugene Yan
AI Engineer
The Intelligent Interface: Sam Whitmore & Jason Yuan of New Computer
AI Engineer
Climbing the Ladder of Abstraction: Amelia Wattenberger
AI Engineer
Supabase Vector: The Postgres Vector database: Paul Copplestone
AI Engineer
[Workshop] AI Engineering 101
AI Engineer
The Hidden Life of Embeddings: Linus Lee
AI Engineer
[Workshop] AI Engineering 201: Inference
AI Engineer
The AI Pivot: With Chris White of Prefect & Bryan Bischof of Hex
AI Engineer
The AI Evolution: Mario Rodriguez, GitHub
AI Engineer
Move Fast Break Nothing: Dedy Kredo
AI Engineer
AI Engineering 201: The Rest of the Owl
AI Engineer
Building Reactive AI Apps: Matt Welsh
AI Engineer
Pragmatic AI with TypeChat: Daniel Rosenwasser
AI Engineer
Domain adaptation and fine-tuning for domain-specific LLMs: Abi Aryan
AI Engineer
Retrieval Augmented Generation in the Wild: Anton Troynikov
AI Engineer
Building Production-Ready RAG Applications: Jerry Liu
AI Engineer
120k players in a week: Lessons from the first viral CLIP app: Joseph Nelson
AI Engineer
The Weekend AI Engineer: Hassan El Mghari
AI Engineer
Harnessing the Power of LLMs Locally: Mithun Hunsur
AI Engineer
Trust, but Verify: Shreya Rajpal
AI Engineer
Open Questions for AI Engineering: Simon Willison
AI Engineer
Storyteller: Building Multi-modal Apps with TS & ModelFusion - Lars Grammel, PhD
AI Engineer
GPT Web App Generator - 10,000 apps created in a month: Matija Sosic
AI Engineer
Using AI to Build an Infinite Game: Jeff Schomay
AI Engineer
How to Become an AI Engineer from a Fullstack Background - Reid Mayo
AI Engineer
The Code AI Maturity Model and What It Means For You: Ado Kukic
AI Engineer
AI Engineer World’s Fair 2024 - Open Models track
AI Engineer
AI Engineer World’s Fair 2024 — Keynotes & CodeGen Track
AI Engineer
AI Engineer World’s Fair 2024 - Open Models track
AI Engineer
AI Engineer World’s Fair 2024 — GPUs & Inference Track
AI Engineer
AI Engineer World’s Fair 2024 - Keynotes & Multimodality track
AI Engineer
From Text to Vision to Voice Exploring Multimodality with Open AI: Romain Huet
AI Engineer
The Making of Devin by Cognition AI: Scott Wu
AI Engineer
The Future of Knowledge Assistants: Jerry Liu
AI Engineer
Llamafile: bringing AI to the masses with fast CPU inference: Stephen Hood and Justine Tunney
AI Engineer
Open Challenges for AI Engineering: Simon Willison
AI Engineer
Lessons From A Year Building With LLMs
AI Engineer
From Software Developer to AI Engineer: Antje Barth
AI Engineer
Unlocking Developer Productivity across CPU and GPU with MAX: Chris Lattner
AI Engineer
Copilots Everywhere: Thomas Dohmke and Eugene Yan
AI Engineer
Fixing bugs in Gemma, Llama, & Phi 3: Daniel Han
AI Engineer
Low Level Technicals of LLMs: Daniel Han
AI Engineer
Emergence Launch: AI Agents and the future enterprise: Dr. Satya Nitta
AI Engineer
How Codeium Breaks Through the Ceiling for Retrieval: Kevin Hou
AI Engineer
What's new from Anthropic and what's next: Alex Albert
AI Engineer
Using agents to build an agent company: Joao Moura
AI Engineer
Decoding the Decoder LLM without de code: Ishan Anand
AI Engineer
Running AI Application in Minutes w/ AI Templates: Gabriela de Queiroz, Pamela Fox, Harald Kirschner
AI Engineer
Building with Anthropic Claude: Prompt Workshop with Zack Witten
AI Engineer
DeepCamp AI