Introduction GraphRAG (Graph Structure Based Retrieval Enhanced Generation) is an advanced retrieval and generation method. It combines the advantages of graph data structures with the capabilities of Large Language Models (LLMs) to overcome some of the limitations of traditional RAG systems. https://github.com/adithya-s-k/AI-Engi...
INTRODUCTION Intelligent body based approach to enhance retrieval augmented generation. Multi-Document Agentic RAG (Retrieval Augmented Generation) is an advanced information retrieval and generation method that combines multi-document processing, intelligent body systems, and large...
Notes: https://colab.research.google.com/github/run-llama/llama_index/blob/main/docs/docs/examples/multi_modal/gpt4v_multi_modal_ retrieval.ipynb
📚 Library Structure Model/Catalog Description and Content Axolotl Framework for fine-tuning language models Gemma Google's latest implementation of the Great Language Model - finetune-gemma.ipynb - gemma-sft.py - Gemma_finetuning_notebook. ipynb fine-tuning notebooks and scripts LLama2 M...
Welcome to the AI Agents section of the AI Engineering Academy! This module explores the fascinating world of AI agents, from basic patterns to practical applications. Learn how to create, orchestrate, and deploy intelligent agents that can perform complex tasks and reason about their environment. 📚 Repository Structure Category Components ...
We have released a large number of card map cues based on the Claude app. Some of you may wonder why there is no output format constraint for the cues, but the output format is always SVG and stable. First of all, the card map prompts use the LISP language as "pseudo-code", the reason for using the LISP language is that it is possible to...
Infrastructure Security We rely on the following sub-processors, listed in descending order of criticality. Please note that code data is uploaded to our servers to support all of Cursor's AI features (see AI Requests section for details), while user code data is not retained in privacy mode (see Privacy Mode...).
This curated list focuses on resources related to generating JSON or other structured output using the Large Language Model (LLM). A list of resources covering libraries, models, Notebooks, and more for generating JSON using the LLM via function calls, tools, CFGs, and more. Table of Contents Terminology Hosted Models Local ...
The future of conversion rate optimization is here - and it's being driven by AI. From personalized video to scalable email outreach, learn how to maximize conversions with AI CRO. If Kieran and I were to invest our marketing budgets in the next 6-12 months, we'd choose AI conversion...
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