Supervise the Process of AI Research — with Jungwon Byun and Andreas Stuhlmüller of Elicit

Latent Space · Beginner ·🧠 Large Language Models ·1y ago
Timestamps: 00:00:00 Introductions 00:07:45 How Johan and Andreas Joined Forces to Create Elicit 00:10:26 Why Products are better than Research 00:15:49 The Evolution of Elicit's Product 00:19:44 Automating Literature Review Workflow 00:22:48 How GPT-3 to GPT-4 Changed Things 00:25:37 Managing LLM Pricing and Performance 00:31:07 Open vs. Closed: Elicit's Approach to Model Selection 00:31:56 Moving to Notebooks 00:39:11 Elicit's Budget for Model Queries and Evaluations 00:41:44 Impact of Long Context Windows 00:47:19 Underrated Features and Surprising Applications 00:51:35 Driving Systematic a…
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Chapters (15)

Introductions
7:45 How Johan and Andreas Joined Forces to Create Elicit
10:26 Why Products are better than Research
15:49 The Evolution of Elicit's Product
19:44 Automating Literature Review Workflow
22:48 How GPT-3 to GPT-4 Changed Things
25:37 Managing LLM Pricing and Performance
31:07 Open vs. Closed: Elicit's Approach to Model Selection
31:56 Moving to Notebooks
39:11 Elicit's Budget for Model Queries and Evaluations
41:44 Impact of Long Context Windows
47:19 Underrated Features and Surprising Applications
51:35 Driving Systematic and Efficient Research
53:00 Elicit's Team Growth and Transition to a Public Benefit Corporation
55:22 Building AI for Good

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