List: NLP/LLM | Curated by Philippe de Meulenaer, PhD

Aug 22, 2024
23 stories
NLP/LLM
Bhargob Deka
in
Level Up Coding
Building a Hotel Recommender: Multi-Agent Framework with CrewAI, Ollama, and GradioA step-by-step guide on creating a multi-agent framework that can recommend hotels based on your specific criteria.
Jul 22
3
Jul 22
3
Rahul Nayak
in
Towards Data Science
How to Convert Any Text Into a Graph of ConceptsA method to convert any text corpus into a Knowledge Graph using Mistral 7B.
Nov 10, 2023
65
Nov 10, 2023
65
Bhargob Deka
in
Level Up Coding
Building a Multi-Modal RAG System for Visual Question AnsweringBuild a multi-modal RAG chatbot using LangChain and GPT-4o to chat with a PDF document.
Aug 1
4
Aug 1
4
Zoumana Keita
in
Towards Data Science
Document Parsing Using Large Language Models — With CodeYou will not think about using Regular Expressions anymore.
Jul 25
7
Jul 25
7
Paul Iusztin
in
Decoding ML
The LLMs kit: Build a production-ready real-time financial advisor system using streaming…Lesson 1: LLM architecture system design using the 3-pipeline pattern
Jan 5
Jan 5
Paul Iusztin
in
Decoding ML
An End-to-End Framework for Production-Ready LLM Systems by Building Your LLM TwinFrom data gathering to productionizing LLMs using LLMOps good practices.
Mar 16
13
Mar 16
13
Paul Iusztin
in
Decoding ML
Architect scalable and cost-effective LLM & RAG inference pipelinesDesign, build and deploy RAG inference pipeline using LLMOps best practices.
Jun 1
1
Jun 1
1
Mandar Karhade, MD. PhD.
in
Towards AI
Why RAG Applications Fail in ProductionIt worked as a prototype; then all went down!
Mar 19
32
Mar 19
32
Jeong Yitae
From RAG to GraphRAG , What is the GraphRAG and why i use it?Before discussing RAG and GraphRAG,
Mar 12
6
Mar 12
6
Ankush k Singal
in
AI Advances
Mixture of Agents: Unlocking the Full Potential of Large Language Models with Together AIAnkush k Singal
Jul 14
Jul 14
Ignacio de Gregorio
in
Towards AI
RAG 2.0, Finally Getting RAG Right!The Creators of RAG Present its Successor
Apr 10
21
Apr 10
21
Mauro Di Pietro
in
Towards Data Science
GenAI with Python: RAG with LLM (Complete Tutorial)Build your own ChatGPT with multimodal data and run it on your laptop without GPU
Jun 28
15
Jun 28
15
Dominik Polzer
in
Towards Data Science
17 (Advanced) RAG Techniques to Turn Your LLM App Prototype into a Production-Ready SolutionA collection of RAG techniques to help you develop your RAG app into something robust that will last
Jun 26
24
Jun 26
24
Vishal Rajput
in
AIGuys
Prompt Engineering Is Dead: DSPy Is New Paradigm For PromptingDSPy Paradigm: Let’s program — not prompt — LLMs
May 29
58
May 29
58
Bradney Smith
in
Towards Data Science
A Complete Guide to BERT with CodeHistory, Architecture, Pre-training, and Fine-tuning
May 13
4
May 13
4
Jules S. Damji
in
AI Advances
An Exploratory Tour of Retrieval Augmented Generation (RAG) ParadigmAn Intuitive guide to what, why, how, and what next?
Apr 29
1
Apr 29
1
Lak Lakshmanan
in
Towards Data Science
Building an AI Assistant with DSPyA way to program and tune prompt-agnostic LLM agent pipelines
Mar 7
6
Mar 7
6
___
in
Towards AI
How To Do RAG Without Vector DatabasesKnowledge Graphs Are All You Need 😀
Mar 3
2
Mar 3
2
Cobus Greyling
T-RAG = RAG + Fine-Tuning + Entity DetectionThe T-RAG approach is premised on combining RAG architecture with an open-source fine-tuned LLM and an entities tree vector database. The…
Feb 15
9
Feb 15
9
Iulia Brezeanu
in
Towards Data Science
How to Cut RAG Costs by 80% Using Prompt CompressionAccelerating Inference With Prompt Compression
Jan 4
11
Jan 4
11