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Ethan Steininger on Mixpeek and the AI Landscape - Weaviate Podcast #42!
Thank you so much for watching the 42nd episode of the Weaviate Podcast! Ethan Steininger is the founder of Mixpeek, an intelligence layer that sits on top of your S3 bucket, so you can search and analyze unstructured data at scale. Ethan has also created Collie with the headline of "Enter your website and Collie will fetch every asset, then give you an embedded search bar that wows your users". Ethan began the podcast by describing his background at MongoDB and integrating the database with full text search functionality. Ethan then presented the founding vision of Mixpeek and some of the most outstanding problems with adapting the latest AI technologies to solve business problems. This lead us to discuss a massive range of topics around the AI landscape from the Llama / Alpaca models to ChatGPT Plugins, the paradigm shift in coding and serverless GPUs. I really enjoyed speaking with Ethan about all these things, I hope you enjoy listening! We would more than happy to discuss any ideas you have with you or answer any questions, thanks again for watching!
Chapters
0:00 Welcome Ethan Steininger!
0:50 Entry into Search from MongoDB
6:45 Founding Vision of Mixpeek
10:15 Data Ingestion
13:45 ChatGPT Plugins
16:25 Paradigm shift in Coding with GPT-4
18:54 Alpaca Models
22:42 Tuning LLMs with Retrieval
31:45 Adding Structure to Code Repo Search
35:06 Re-Ranking / Learning-to-Rank
43:30 AGI Monopoly
49:10 Hybrid Search! Zero-Shot + BM25
54:20 Open-Source Business
59:35 Serverless GPUs
1:11:18 Ethan’s Advice for Stress Management
1:13:00 Existential AI Fear
Links:
Mixpeek - https://mixpeek.com/
Collie - https://collie.ai/
An Open-Source, Personalized Generative Model Framework - https://esteininger.medium.com/an-open-source-personalized-generative-model-framework-6df865de51bf
Teaching GPT-4 to write code from research papers - https://esteininger.medium.com/teaching-gpt-4-to-write-code-from-research-papers-889a880fb4f0
The Need for an AI Content Verification Layer - https://esteininger.medium.com/the-need-for-an-ai-content-verification-layer-10be9379b354
Building the ML Stack of the Future - https://esteininger.medium.com/building-the-ml-stack-of-the-future-d66c8a8b566a
Vertical Integration is Key to Winning the AI Race - https://esteininger.medium.com/vertical-integration-is-key-to-winning-the-ai-race-44c8e4bd3b30
View all episodes
By Weaviate
4
44 ratings
Thank you so much for watching the 42nd episode of the Weaviate Podcast! Ethan Steininger is the founder of Mixpeek, an intelligence layer that sits on top of your S3 bucket, so you can search and analyze unstructured data at scale. Ethan has also created Collie with the headline of "Enter your website and Collie will fetch every asset, then give you an embedded search bar that wows your users". Ethan began the podcast by describing his background at MongoDB and integrating the database with full text search functionality. Ethan then presented the founding vision of Mixpeek and some of the most outstanding problems with adapting the latest AI technologies to solve business problems. This lead us to discuss a massive range of topics around the AI landscape from the Llama / Alpaca models to ChatGPT Plugins, the paradigm shift in coding and serverless GPUs. I really enjoyed speaking with Ethan about all these things, I hope you enjoy listening! We would more than happy to discuss any ideas you have with you or answer any questions, thanks again for watching!
Chapters
0:00 Welcome Ethan Steininger!
0:50 Entry into Search from MongoDB
6:45 Founding Vision of Mixpeek
10:15 Data Ingestion
13:45 ChatGPT Plugins
16:25 Paradigm shift in Coding with GPT-4
18:54 Alpaca Models
22:42 Tuning LLMs with Retrieval
31:45 Adding Structure to Code Repo Search
35:06 Re-Ranking / Learning-to-Rank
43:30 AGI Monopoly
49:10 Hybrid Search! Zero-Shot + BM25
54:20 Open-Source Business
59:35 Serverless GPUs
1:11:18 Ethan’s Advice for Stress Management
1:13:00 Existential AI Fear
Links:
Mixpeek - https://mixpeek.com/
Collie - https://collie.ai/
An Open-Source, Personalized Generative Model Framework - https://esteininger.medium.com/an-open-source-personalized-generative-model-framework-6df865de51bf
Teaching GPT-4 to write code from research papers - https://esteininger.medium.com/teaching-gpt-4-to-write-code-from-research-papers-889a880fb4f0
The Need for an AI Content Verification Layer - https://esteininger.medium.com/the-need-for-an-ai-content-verification-layer-10be9379b354
Building the ML Stack of the Future - https://esteininger.medium.com/building-the-ml-stack-of-the-future-d66c8a8b566a
Vertical Integration is Key to Winning the AI Race - https://esteininger.medium.com/vertical-integration-is-key-to-winning-the-ai-race-44c8e4bd3b30
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