Harrison Chase: LangChain and The Future of LLM Applications | Alejandro AO
Vložit
- čas přidán 29. 06. 2024
- Links
💬 Join the Discord Help Server: link.alejandro-ao.com/HrFKZn
❤️ Support me (thanks): link.alejandro-ao.com/l83gNq
✉️ Get the Newsletter: link.alejandro-ao.com/AIIguB
LangChain and its ecosystem
0:00 Introduction
1:48 What is LangChain?
3:44 Form Python package to a company
4:55 New tools and changes in LangChain
5:38 The origin of LangChain
6:33 Changes in the Generative AI world in the past year
8:33 What is Query Analysis?
10:10 Most interesting projects using LangChain
13:38 Projects are getting to production
15:36 Main challenges of taking LLM apps to production
18:30 What is LangSmith?
19:17 How is LangSmith different from its competitors?
21:49 Favorite integrations with LangChain
23:41 Most popular tools to use with LLMs
25:40 Main use cases of LangChain
27:25 What is RAG?
29:40 Common UIs for LLM apps
Harrison Chase's career and advice
31:15 What does your career path look like?
34:33 Did your degree prepare you for the AI industry?
35:11 What is an AI Engineer?
36:24 Is a Computer Science degree necessary?
37:23 Where can I study to become an AI Engineer?
38:57 Who are your mentors?
41:20 Advice to start your own AI company
43:18 Starting off with a tweet
44:48 Turning open source into business
The Future of the AI industry
48:21 What do you see int he future generative AI?
49:33 Long term memory in LLMs
53:44 Open source models in the industry
55:43 Safety concerns with autonomous agents
58:11 Harrison's position on regulation
59:48 New LangChain projects coming soon
1:00:54 What new projects in the AI world are you most excited about?
1:01:32 Will RAG die with long-context LLMs?
1:03:08 Extra comments, end.
In this interview, Harrison Chase, the CEO and co-founder of LangChain, takes us on a deep dive into the forefront of AI technology. As we explore the intersection of large language models (LLMs) like OpenAI's GPT-4, Mistral-AI, and Google's Gemini Pro with the future of application development, Chase offers invaluable insights into the challenges, triumphs, and future directions of integrating LLMs into innovative applications. LangChain allows you to build LLM applications like chat assistants over personal data and autonomous agents acting on complex instructions.
For software engineers, developers, and anyone fascinated by the potential of AI, this conversation illuminates the path towards creating applications that are not only functional but also intelligent and intuitive. Whether you're interested in the technical aspects of building LLM applications, the strategic vision behind LangChain, or the broader implications of AI in our lives, this interview offers a rare glimpse into the minds shaping our technological future.
#langchain #openai #llm #chatgpt #generativeai - Věda a technologie
Going BIG TIME! Congrats! And also to Harrison to being so gracious with his time.
Hey Brandon! Thank you, man. Yeah, he's also a very cool person. Who do you think we should bring in next for a conversation?
@@alejandro_ao João Moura of CrewAI 🛶🛶
Thank you for the discussion
Great video as usual! I really appreciate all the detailed tutorials you make. The questions you asked Harrison were well thought out too :) Thanks for making such high quality content!!
hey there, i appreciate it!
Turning an ordinary morning coffee break into an incredibly engaging experience with this talk! Huge thanks to Alejandro for consistently bringing us such thought-provoking content. It's always a delight to dive into the world of AI with insights from experts like Harrison Chase. Your work truly enriches my appreciation of the field. Keep up the fantastic work! Greetings from Argentina
hey gabriel! thank you! i hope you liked it! i'll be putting out an audio version soon :) expect more interviews like this!
Perfect morning walk podcast! Congrats guys on the success so far and hope to see both of you thrive!
well he's already thriving, i'm getting there 😎
Another amazing video - thanks a lot for sharing!
Thank you both. It was a good interview. I liked it. Maybe you can make one more after some time. 👍
absolutely 😎
Congrats on the interview!
thanks man
We are very happy to bring all kinds of exciting application related to Rag and LLM so close to us.
But we got a different vibes from this video..Super excited. 1:04:03 🎉
awesome, i am testing out this format and it seems to be doing okay so i'll definitely do more!
wtf i never expected this from you. granted i wasnt following you that closely but now im super intrigued!
i hope you're intrigued in the good way!
Great get, thanks!
The main key points for people want to have a clear overview of the discussion.
- Introduction to Harrison Chase and LangChain:
- Harrison Chase is introduced as the visionary co-founder and CEO of LangChain.
- LangChain facilitates the integration of large language models (LLMs) into new application generations, from chat assistants to autonomous agents.
- Origin and Development of LangChain:
- Began as an open-source project in October/November 2022.
- Transitioned into a company with a broader focus, including Python and JavaScript packages, and launching LangSmith for application monitoring and testing.
- Future of AI according to Harrison Chase:
- Emphasizes the significant impact and early stage of LLM integration.
- Envisions the evolution and broad utilization of structured output and streaming in LLM applications.
- Challenges and Triumphs in Building LangChain:
- Discusses the iterative process of developing LangChain and adapting to the requirements of reliable LLM applications.
- Highlights LangSmith’s role in addressing the challenge of non-deterministic behaviors in LLMs.
- Key Innovations and Projects Utilizing LangChain:
- Mentions creative applications like Dungeons & Dragons dungeon masters and complex customer support bots.
- Notes the importance of maintaining state and memory over interactions for complex applications.
- The Role of LangSmith:
- A platform independent of LangChain, designed for logging, observability, and testing of LLM applications.
- Helps developers improve the reliability and efficiency of their LLM applications.
- Harrison Chase’s Career Path:
- From sports analytics enthusiast to AI and machine learning professional through roles in fintech and startups.
- Emphasizes learning and problem-solving as pivotal to his career advancement.
- Advice for Aspiring AI Engineers and Entrepreneurs:
- Recommends working with talented teams, quick iteration, and openly sharing work for feedback.
- Stresses the importance of solving meaningful problems and continuous learning.
- Regulation and Safety in AI Development:
- Shares a conservative stance on regulation but acknowledges the uncharted territory of AI’s future.
- Emphasizes responsible development and the use of LLMs.
- Excitement for Future AI Advancements:
- Looks forward to improvements in language models, especially those pertaining to long-term memory and multimodality.
- Sees potential in more tailored and autonomous applications driven by better and faster models.
@52:00, thats actually such an insightful idea, of an adaptibe api... i not on both ends on one end. I fe like u would always want the hard api and documentation as it qould specify the contract...
But thats really fuggin interesting
yeah, it might become an extra layer under the hard api (or maybe some systems will work completely on natural language?). the thing that relying on natural language for inter-application communication will bring the problems of human language to computers (aka. misunderstandings and clarity issues)
Wow.. congrats guys.
thanks!
Awesome interview!! Subbed
thank you! welcome onboard 👨🏻✈️
nice, thank for your time,
hey man, thank *you* for your time
really cool!
you are
Genial!!! Excellent!!!
you are
ansome !
Come great way son. Congratulations
thank you sir
sir first of all great video sir can we make this without using OpenAI API
Amazing ....❤
let me know who else you'd like me to talk to!
Thank you, dear sir... for the wonderful and purposeful content of your CZcams channel, and we support any scientific figure that hosts it and has a positive impact on our lives.....@@alejandro_ao
Thank you very much for the wonderful content on your channel. We support any personality you host who has a positive, useful and inspiring impact on our lives.
@@alejandro_ao
@@yusufersayyem7242 thanks for the kind words, man. you can count on that 💪
❤❤❤
Awesome first episode, Ale! Your content keeps getting better and better. Keep it up 🦾🚀
Thank you, Diego! I appreciate it. Always trying to do a little better than the last time 🤓
this great but i think you need to apply more open source and also showcase how to put it into production
🎉🎉🎉🎉🎉
🎉
Are you on Spotify
i'm creating the audio channels, they should be up very soon. i'll put up a post when it's done!
First
hello there
R u Argentinian
right continent, wrong hemisphere. i was born and raised in mexico. i admire argentina so much, even though i have never been there.