Dexa/Super Data Science: ML & AI Podcast with Jon Krohn

Published Dec 24, 2024

847: AI Engineering 101 — with Ed Donner

Jon Krohn and Ed Donner delve into advanced AI engineering techniques, exploring AI model optimization, the evolving role of AI engineers, strategic model selection, and efficient deployment strategies, highlighting the impact of open versus closed source choices and the benefits of platforms like Modal.

Episode Highlights

Topics covered

Questions from this episode

- Tell me something about artificial intelligence
  Asked by 114 people
- What are some hot takes on web-based AI agents?
  Asked by 66 people
- What are the latest breakthroughs in AI?
  Asked by 62 people
- How can we integrate AI into our business processes?
  Asked by 55 people
- Can you give more examples of large language model applications in relation to the episode Stephen Wolfram: ChatGPT and the Nature of Truth, Reality & Computation | Lex Fridman Podcast #376 and the clip Computational Language Insights?
  Asked by 50 people
- What opportunities does AI open up?
  Asked by 43 people
- What are some hot takes on web-based AI agents from the episode Tektonic AI Secures $10M for GenAI Business Automation and the clip AI Automation Insights?
  Asked by 36 people
- What is the current news around Generative AI?
  Asked by 35 people
- What's the future of generative AI?
  Asked by 34 people
- What's next in large language models (LLMs)?
  Asked by 33 people
- What are some applications of language models?
  Asked by 27 people
- What are the most recent developments and trends in AI, large language models (LLMs), retrieval-augmented generation (RAG), etc., as discussed in the episode #159 - Inflection-2.5, Devin, OpenAI board update, SIMA, EU AI Act passed and the clip Cohere's Command R?
  Asked by 27 people
- Tell me something unique about large language models in the context of the episode Stephen Wolfram: ChatGPT and the Nature of Truth, Reality & Computation | Lex Fridman Podcast #376 and the clip Language Model Limitations
  Asked by 23 people
- How is AI used in tech companies?
  Asked by 23 people
- What techniques are used with large language models (LLMs)?
  Asked by 22 people

Episode Highlights

Related Episodes

679: The A.I. and Machine Learning Landscape — with investor George Mathew
Answers 383 questions
853: Generative AI for Business — with Kirill Eremenko and Hadelin de Ponteves
Answers 383 questions
841: AI Vision, Agents and Business Value — with Andrew Ng
Answers 383 questions
656: A.I. Talent and the Red-Hot A.I. Skills — with Jaclyn Rice Nelson
Answers 383 questions
683: Contextual A.I. for Adapting to Adversaries — with Dr. Matar Haller
Answers 383 questions
801: Merged LLMs Are Smaller And More Capable — with Arcee AI's Mark McQuade and Charles Goddard
Answers 383 questions
SDS 464: A.I. vs Machine Learning vs Deep Learning — with Jon Krohn
Answers 383 questions
754: A Code-Specialized LLM Will Realize AGI — with Jason Warner
Answers 383 questions
SDS 549: Engineering Natural Language Models — with Lauren Zhu
Answers 383 questions
661: Designing Machine Learning Systems — with Chip Huyen
Answers 383 questions
735: AI Product Management — with Google DeepMind's Head of Product, Mehdi Ghissassi
Answers 383 questions
701: Generative A.I. without the Privacy Risks — with Prof. Raluca Ada Popa
Answers 383 questions
736: How to Officially Certify your AI Model — with Jan Zawadzki
Answers 383 questions
775: What will humans do when machines are vastly more intelligent? — with Aleksa Gordić
Answers 383 questions
846: Making Enterprise Data Ready for AI — with Anu Jain and Mahesh Kumar
Answers 383 questions