List: LLM | Curated by Yoshiyuki Igarashi

May 29, 2024
20 stories
LLM
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Benjamin Marie
AirLLM: Layered Inference for Low-Memory HardwareLayered-inference
Jan 27, 2024
Jan 27, 2024
In
TDS Archive
by
Cristian Leo
The Math Behind Fine-Tuning Deep Neural NetworksDive into the techniques to fine-tune Neural Networks, understand their mathematics, build them from scratch, and explore their…
Apr 3, 2024
7
Apr 3, 2024
7
In
TDS Archive
by
Benjamin Marie
Fine-tune Google Gemma with Unsloth and Distilled DPO on Your ComputerFollowing Hugging Face’s Zephyr recipe
Mar 18, 2024
2
Mar 18, 2024
2
In
TDS Archive
by
Alex Honchar
Intro to LLM Agents with Langchain: When RAG is Not EnoughFirst-order principles of brain structure for AI assistants
Mar 15, 2024
17
Mar 15, 2024
17
In
TDS Archive
by
Mariya Mansurova
Text Embeddings: Comprehensive GuideEvolution, visualisation, and applications of text embeddings
Feb 13, 2024
21
Feb 13, 2024
21
In
Towards AI
by
Mandar Karhade, MD. PhD.
Make Any* LLM fit Any GPU in 10 Lines of CodeAn ingenious way of running models larger than the VRAM of the GPU. It may be slow but it freaking works!
Dec 13, 2023
11
Dec 13, 2023
11
In
TDS Archive
by
Josh Poduska
LLM Monitoring and ObservabilityA Summary of Techniques and Approaches for Responsible AI
Sep 15, 2023
4
Sep 15, 2023
4
In
Towards AI
by
Pere Martra
QLoRA: Training a Large Language Model on a 16GB GPU.Let’s explore how Quantization works and provide an example of fine-tuning a Llama3-8-b model on a T4 16GB GPU in Google Colab.
Oct 20, 2023
Oct 20, 2023
In
Towards AI
by
Youssef Hosni
Building RAG Application using Gemma 7B LLM & Upstash Vector DatabaseRetrieval-Augmented Generation (RAG) is the concept of providing large language models (LLMs) with additional information from an external…
Mar 8, 2024
3
Mar 8, 2024
3
In
Generative AI
by
Tim Cvetko
Build Your Own RLHF LLM — Forget Human Labelers!You know, that thing OpenAI used to make GPT3.5 into ChatGPT? You can do the same without asking strangers to rank statements.
Feb 19, 2024
4
Feb 19, 2024
4
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, 2024
11
Feb 15, 2024
11
In
TDS Archive
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Yanli Liu
How to Generate Instruction Datasets from Any Documents for LLM Fine-TuningGenerate high-quality synthetic datasets economically using lightweight libraries
Mar 6, 2024
14
Mar 6, 2024
14
In
TDS Archive
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David Hundley
A High Level Guide to LLM Evaluation MetricsDeveloping an understanding of a variety of LLM benchmarks & scores, including an intuition of when they may be of value for your purpose
Feb 27, 2024
4
Feb 27, 2024
4
Parikshit Saikia
Mistral Mastery: Fine-Tuning & Fast Inference GuideUnlocking full potential of Mistral-7B-Inst with QLoRA and vLLM
Oct 29, 2023
6
Oct 29, 2023
6
In
AI Advances
by
Nirmalya Ghosh
Using Mixtral 8x7B For NLP Tasks On Small GPUsLarge language models (LLM) are made up of billions of parameters, thus posing challenges when loading them onto GPU memory for model…
Jan 1, 2024
5
Jan 1, 2024
5
In
Nixiesearch
by
Roman Grebennikov
How to compute LLM embeddings 3X faster with model quantizationRunning LLM embedding models is slow on CPU and expensive on GPU. We will make it up to 3X faster with ONNX model quantization, see how…
Nov 13, 2023
1
Nov 13, 2023
1
In
TDS Archive
by
Shaked Zychlinski 🎗️
7 Lessons Learned on Creating a Complete Product Using ChatGPTChatGPT’s coding abilities make it super easy to code entire products in no-time, but just like coding — there exist best practices for…
Aug 5, 2023
3
Aug 5, 2023
3
In
TDS Archive
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Donato Riccio
Everything You Should Know About Evaluating Large Language ModelsFrom perplexity to measuring general intelligence
Aug 28, 2023
1
Aug 28, 2023
1
In
TDS Archive
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Beatriz Stollnitz
The Transformer Architecture of GPT ModelsLearn the details of the Transformer architecture
Jul 25, 2023
10
Jul 25, 2023
10