LlmsUnderstanding the LLM Development Cycle: Building, Training, Finetuning
A Deep Dive into the Lifecycle of LLM Development
Llms
LlmsAn easy to use Chat GPT like interface for finetuning LLM's
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LlmsMixture of Finetuned and GPT4 Model
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
LlmsGoogle DeepMind Diagnostic LLM Exceeds Human Doctor Accuracy (59% vs. 34%)
Researchers from Google and DeepMind have developed and evaluated an LLM fine-tuned specifically for clinical diagnostic reasoning. In a new...
LlmsGoogle DeepMind Diagnostic LLM Exceeds Human Doctor Accuracy (59% vs. 34%)
Researchers from Google and DeepMind have developed and evaluated an LLM fine-tuned specifically for clinical diagnostic reasoning. In a new...
LlmsSparQ Attention: Bandwidth-Efficient LLM Inference
This paper discusses the use of deep learning methods for natural language processing (NLP). Specifically, it examines the application of pre-trained …
LlmsOpen LLM Leaderboard: DROP deep dive
The recent Leaderboard Drop & Dive event hosted by Hugging Face was an experiment designed to run a leaderboard challenge on a popular language model. …
LlmsPyTorch 2.1 Contains New Performance Features for AI Developers
PyTorch recently released a set of new features that are designed to make machine learning and artificial intelligence development easier and more …
LlmsA beginner's guide to LLM fine-tuning
The article from Modal.com provides an overview of language model (LM) fine-tuning techniques, which are used to customize the performance of language …
LlmsWhy ChatGPT's Cut-Off Date Doesn't Change
n Article URL: https://www.vincentschmalbach.com/updating-llms-fine-tuning-vs-retraining-or-why-chatgpts-cut-off-date-doesnt-change/ n Comments URL: …
LlmsLamini LLM Finetuning on AMD ROCm: A Technical Recipe
n Article URL: https://www.lamini.ai/blog/lamini-llm-finetuning-on-amd-rocm-a-technical-recipe n Comments URL: …
It's hard to believe this textbook was authored by AI
SciPhi is a simple framework for generating synthetic / fine-tuning data, and for robust evaluation of LLMs. - emrgnt-cmplxty/sciphi