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Ollama
ollama.com
LLMs struggle with challenges like the compositionality gap (Measuring and Narrowing the Compositionality Gap in Language Models by Ofir Press and colleagues; 2023). This means LLMs cannot connect inferences or adapt responses to new situations. Overcoming these obstacles requires augmenting LLMs with techniques that add true comprehension.
Ben Auffarth • Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
Zerox OCR
A dead simple way of OCR-ing a document for AI ingestion. Documents are meant to be a visual representation after all. With weird layouts, tables, charts, etc. The vision models just make sense!
The general logic:
A dead simple way of OCR-ing a document for AI ingestion. Documents are meant to be a visual representation after all. With weird layouts, tables, charts, etc. The vision models just make sense!
The general logic:
- Pass in a PDF (URL or file buffer)
- Turn the PDF into a series of images
- Pass each image to GPT and ask nicely for Markdown
- Aggregat
Tyler Maran • GitHub - getomni-ai/zerox: Zero shot pdf OCR with gpt-4o-mini
milvus is immensely popular; however, other libraries such as qdrant, weviate, and chroma have been catching up.
Ben Auffarth • Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
- Cohere introduced Embed v3, an advanced model for generating document embeddings, boasting top performance on a few benchmarks. It excels in matching document topics to queries and content quality, improving search applications and retrieval-augmentation generation (RAG) systems. The new version offers models with 1024 or 384 dimensions, supports o
FOD#27: "Now And Then"
Pipeline RobustQA Avg. score Avg. response time (secs) Azure Cognitive Search Retriever + GPT4 + Ada 72.36 >1.0s Canopy (Pinecone) 59.61 >1.0s Langchain + Pinecone + OpenAI 61.42 <0.8s Langchain + Pinecone + Cohere 69.02 <0.6s LlamaIndex + Weaviate Vector Store - Hybrid Search 75.89 <1.0s RAG Google Cloud VertexAI... See more
arXiv:2405.02048v1 [cs.IR] 3 May 2024
Q2_2024_PitchBook_Analyst_Note_Establishing_a_Case_for_Emerging_Managers
This document explores the performance of emerging versus established managers in the private fund industry, focusing on buyout, venture capital, real estate, and private debt strategies.
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