InTDS ArchivebyJon FlynnExploring Music Transcription with Multi-Modal Language ModelsUsing Qwen2-Audio to transcribe music into sheet musicNov 17, 20244Nov 17, 20244
AI SageScribeBuilding a Robust Sequential Recommender Systems with Generative RetrievalIn today’s data-driven world, the ability to provide personalized and relevant recommendations to users has become a crucial aspect of many…Aug 10, 2024Aug 10, 2024
Jerry LiuHow Unstructured and LlamaIndex can help bring the power of LLM’s to your own data(co-authored by Jerry Liu, creator of LlamaIndex, and Brian Raymond, CEO of Unstructured)Mar 9, 202310Mar 9, 202310
InTDS ArchivebyJan MajewskiStreamline Your Prompts to Decrease LLM Costs and LatencyDiscover 5 techniques to optimize token usage without sacrificing accuracyMay 24, 20243May 24, 20243
InTDS ArchivebyBradney SmithA Complete Guide to BERT with CodeHistory, Architecture, Pre-training, and Fine-tuningMay 13, 20244May 13, 20244
InTDS ArchivebyEivind KjosbakkenUnleash Llama3 — How you can use the latest big-tech open-source LLMThis article discusses Llama3, the newest language model made available from Meta, and how you can run the model locallyApr 26, 2024Apr 26, 2024
InPinterest Engineering BlogbyPinterest EngineeringHow we built Text-to-SQL at PinterestAdam Obeng | Data Scientist, Data Platform Science; J.C. Zhong | Tech Lead, Analytics Platform; Charlie Gu | Sr. Manager, EngineeringApr 2, 202422Apr 2, 202422
InTDS ArchivebyDmitrii EliuseevMistral vs Mixtral: Comparing the 7B, 8x7B, and 8x22B Large Language ModelsRunning the 7B and 22B Models in Google ColabApr 20, 20245Apr 20, 20245
InTDS ArchivebyJeremy ArancioParse Your Invoices with LayoutLM and Label StudioFine-tune LayoutLM on your invoices with the Transformers library, Label Studio, and AWS S3.Apr 16, 20246Apr 16, 20246
InTDS ArchivebyYunzhe WangSomething-of-Thought in LLM Prompting: An Overview of Structured LLM ReasoningChain-of-Thought (CoT), Tree-of-Thought (ToT), Graph-of-Thought (GoT), and beyond, … What are these thoughts?Sep 16, 20231Sep 16, 20231
InTDS ArchivebyTahreem RasulBuilding a Math Application with LangChain AgentsA tutorial on why LLMs struggle with math, and how to resolve these limitations using LangChain Agents, OpenAI and ChainlitMar 19, 20249Mar 19, 20249
InTDS ArchivebyMarkus StollVisualize your RAG Data — Evaluate your Retrieval-Augmented Generation System with RagasHow to use UMAP dimensionality reduction for Embeddings to show multiple evaluation Questions and their relationships to source documents…Mar 3, 20248Mar 3, 20248
InTowards AIbyYoussef HosniAndrej Karpathy LLM Paper Reading List for LLM MasteryLLM Paper Recommendation from World Leading AI ResearcherDec 7, 20232Dec 7, 20232
InTDS ArchivebyNabil AlouaniHow to Improve Any Prompt in Less Than 5 Minutes (Chat UI and Code)Turn half-baked sentences into expert-level promptsFeb 5, 20245Feb 5, 20245
InTDS ArchivebyAnthony AlcarazEmbeddings + Knowledge Graphs: The Ultimate Tools for RAG SystemsThe advent of large language models (LLMs) , trained on vast amounts of text data, has been one of the most significant breakthroughs in…Nov 14, 202311Nov 14, 202311
Hanane DupouyDiscover DocLLM: The New LLM From JPMorgan For Working with Complex DocumentsJPMorgan has launched a new language model called DocLLM, specifically designed for working with documents that have complex layouts. This…Jan 5, 202410Jan 5, 202410
InTDS ArchivebyHeiko HotzDeploying LLMs locally with Apple’s MLX frameworkA technical deep dive into the new deep learning library MLXJan 20, 20249Jan 20, 20249
InTDS ArchivebyWenqi GlantzSafeguarding Your RAG Pipelines: A Step-by-Step Guide to Implementing Llama Guard with LlamaIndexHow to add Llama Guard to your RAG pipelines to moderate LLM inputs and outputs and combat prompt injectionDec 27, 20232Dec 27, 20232
