List: AI, ML, NLP & LLM - v1 | Curated by Sukhpinder Singh | C# .Net

Sep 27, 2024
110 stories
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AI, ML, NLP & LLM - v1
In
Towards AI
by
Shenggang Li
Exploring AI Prompt Engineering: Mathematical Foundations and RAG MethodologiesA Comprehensive Guide of LLMs, In-Context Learning, and RAG Techniques
May 29, 2024
1
May 29, 2024
1
In
TDS Archive
by
Marcello Politi
LLMOps — Serve  a Llama-3 model with BentoMLQuickly set up LLM APIs with BentoML and Runpod
Aug 9, 2024
1
Aug 9, 2024
1
Angelina Yang
Production RAG Must-have Trick — Generative Feedback LoopsWhat is a Generative Feedback Loop?
Aug 8, 2024
Aug 8, 2024
In
TDS Archive
by
Thuwarakesh Murallie
5 Proven Query Translation Techniques To Boost Your RAG PerformanceHow to get near-perfect LLM performance even with ambiguous user inputs
Aug 8, 2024
6
Aug 8, 2024
6
In
DevOps.dev
by
Okan Yenigün
Ollama: The Ultimate Tool for Running Language Models LocallyYour Gateway to Local Language Models
Aug 2, 2024
3
Aug 2, 2024
3
In
AIGuys
by
Vishal Rajput
How To Build LangChain RAG With DSPy?Systematic Prompting Combined With RAGs
Aug 7, 2024
1
Aug 7, 2024
1
Cobus Greyling
AI AgentsAn AI Agent is a program that uses one or more Large Language Models (LLMs) or Foundation Models (FMs) as its backbone, enabling it to…
Aug 6, 2024
1
Aug 6, 2024
1
In
Towards AI
by
Ignacio de Gregorio
Google’s Gemma2-2B, A Compression MarvelHow to Build a Small Titan
Aug 8, 2024
5
Aug 8, 2024
5
In
TDS Archive
by
Benjamin Marie
Multi-GPU Fine-tuning for Llama 3.1 70B with FSDP and QLoRAWhat you can do with only 2x24 GB GPUs and a lot of CPU RAM
Aug 8, 2024
2
Aug 8, 2024
2
In
TDS Archive
by
Sachin Khandewal
Improving RAG Answer Quality Through Complex ReasoningShowcasing the process for building a multi-hop retrieval system using DSPy and Indexify
Jul 24, 2024
2
Jul 24, 2024
2
In
TDS Archive
by
Luís Roque
Gemma vs. Llama vs. Mistral: Exploring Smaller AI ModelsA Comparative Study of Small-Scale Language Models: Evaluating Gemma, Llama 3, and Mistral in Reading Comprehension Tasks
Aug 6, 2024
5
Aug 6, 2024
5
In
Level Up Coding
by
Pavan Belagatti
Semantic Chunking for Enhanced RAG Applications!Large language models (LLMs) have created a huge opportunity for aspiring researchers and AI enthusiasts. But, we need to understand one…
Jul 30, 2024
Jul 30, 2024
In
TDS Archive
by
Salvatore Raieli
AI Hallucinations: Can Memory Hold the Answer?Exploring How Memory Mechanisms Can Mitigate Hallucinations in Large Language Models
Aug 2, 2024
Aug 2, 2024
Cobus Greyling
Creating Synthetic Training DataIn the recent past, several impediments have been identified in creating synthetic data. One major challenge is ensuring diversity and…
Aug 1, 2024
Aug 1, 2024
In
Generative AI
by
Fabio Matricardi
135M: you cannot go Smaller!Meet the smallest and useful Decoder only Language Model around. Is it any good?
Aug 1, 2024
1
Aug 1, 2024
1
Cobus Greyling
AI Agent Evaluation Framework From AppleApple recently introduced ToolSandbox, a framework for stateful, conversational, interactive evaluation of LLM tool use capabilities. This…
Aug 14, 2024
1
Aug 14, 2024
1
In
TDS Archive
by
Zoumana Keita
AI Agents — From Concepts to Practical Implementation in PythonThis will change the way you think about AI and its capabilities
Aug 12, 2024
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Aug 12, 2024
21
In
AI Advances
by
Kris Ograbek
Run Llama 3 on your laptop: An introduction to Ollama for beginners.Running open-source LLMs has never been easier.
Aug 14, 2024
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Aug 14, 2024
8
In
TDS Archive
by
Dr. Leon Eversberg
How to Use Hybrid Search for Better LLM RAG RetrievalBuilding an advanced local LLM RAG pipeline by combining dense embeddings with BM25
Aug 11, 2024
5
Aug 11, 2024
5
In
Towards AI
by
Jesus Rodriguez
Meet PromptPoet: The New Prompt Engineering Framework that Everyone is Talking AboutOriginally created by Character.ai, PromptPoet abstracts some of the core building blocks of prompt engineering.
Aug 12, 2024
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Aug 12, 2024
1