Published Sep 1, 2023

710: LangChain: Create LLM Applications Easily in Python — with Kris Ograbek (@krisograbek)

Jon Krohn and Kris Ograbek delve into the creation of interactive LLM applications with the LangChain framework, exploring innovative data processing techniques like embeddings and data chunking, while also reflecting on the evolving art of podcast production and host transitions.

Episode Highlights

Topics covered

Episode Highlights

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710: LangChain: Create LLM Applications Easily in Python — with Kris Ograbek (@krisograbek)

Topics covered

Popular Clips

Optimizing Hyperparameters

Specializing in LLMs

Embeddings and Context

Transitioning Hosts

Word Vector Spaces

Supercharged Interactions

Data Chunking Techniques

Transcript Utilization

AI as a Coach

Chatting with LangChain

Vector Embeddings Explained

Leveraging Learning Projects

Visualizing Word Embeddings

Data Preparation Insights

Podcast Journey

Episode Highlights

Podcast Dynamics

LLM Applications

Technical Processes

Related Episodes

704: Jon’s “Generative A.I. with LLMs” Hands-on Training — with Jon Krohn (@JonKrohnLearns)

767: Open-Source LLM Libraries and Techniques — with Dr. Sebastian Raschka

706: Large Language Model Leaderboards and Benchmarks — with Caterina Constantinescu

772: In Case You Missed It in March 2024 — with Jon Krohn (@JonKrohnLearns)

688: Six Reasons Why Building LLM Products Is Tricky — with Jon Krohn (@JonKrohnLearns)

661: Designing Machine Learning Systems — with Chip Huyen

787: MLOps: The Job and The Key Tools — with Demetrios Brinkmann

747: Technical Intro to Transformers and LLMs — with Kirill Eremenko

801: Merged LLMs Are Smaller And More Capable — with Arcee AI's Mark McQuade and Charles Goddard

788: Multi-Agent Systems: How Teams of LLMs Excel at Complex Tasks — with @JonKrohnLearns

702: Llama 2 — It's Time to Upgrade your Open-Source LLM — with Jon Krohn (@JonKrohnLearns)

754: A Code-Specialized LLM Will Realize AGI — with Jason Warner

824: Llama 3.2: Open-Source Edge and Multimodal LLMs — with Jon Krohn (@JonKrohnLearns)

753: Blend Any Programming Languages in Your ML Workflows — with Dr. Greg Michaelson

670: LLaMA: GPT-3 performance, 10x smaller — with Jon Krohn (@JonKrohnLearns)

710: LangChain: Create LLM Applications Easily in Python — with Kris Ograbek (@krisograbek)

Topics covered

Popular Clips

Episode Highlights

Podcast Dynamics

LLM ApplicationsKris Ograbek explores the LangChain framework, showcasing its potential in creating interactive LLM applications. He shares insights on building projects with LLMs and the transformative role of AI tools in enhancing productivity.

LLM Applications

Technical ProcessesKris Ograbek explores the intricacies of embeddings and context in language models, emphasizing their role in overcoming data processing challenges. He also highlights data chunking techniques that optimize large datasets for effective use in applications like LangChain.

Technical Processes

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