Large language models (LLMs).These are advanced deep learning models trained on massive amounts of text data, allowing them to generate text, translate languages, write different kinds of creative content, and answer questions in an informative way. Foundation models.These AI models receive human ...
1 awesome-go 138261 12100 Go 5 A curated list of awesome Go frameworks, libraries and software 2025-02-16T02:52:44Z 2 ollama 126666 10280 Go 1317 Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 2, and other large language models. 2025-02-17T01:02:11Z 3 go 125879 ...
Ongoing discussions and negotiations, especially regarding how to regulate large language models (LLM) or foundation models, are part of the trialogue at the European level involving the commission, parliament, and governments. The key question is whether to regulate the applications of AI or the te...
But after a backward(), the parameter weights of the score layer become: I think that's what's causing the loss to be 0, but I'm not sure why using torch_dtype=torch.float16 causes this problem for models with a score layer (I've tried other models, and other models also have th...
大模型(LLM)最新论文摘要 | Know Your Audience: Do LLMs Adapt to Different Age and Education Levels? Authors: Donya Rooein, Amanda Cercas Curry, Dirk Hovy Large language models (LLMs) offer a range of new possibilities, including adapting the text to different audiences and their reading needs...
Using Large Language Models (LLMs) GenAI-Based Data Extraction (Nanonets) Manual Data Extraction When it comes to extracting data from PDFs, one of the most straightforward approaches is the copy-paste method. This is as simple as it sounds: ...
But he’s not sold on Wayve’s total commitment to deep learning. Instead of a single large model, Ghost trains many hundreds of smaller models, each with a specialism. It then hand codes simple rules that tell the self-driving system which models to use in which situations. (Ghost’s ...
tasks. The study not only highlights the limitations of current LLMs in handling redundant information but also suggests that future training of these models should focus on incorporating redundant information into the training data to increase the performance on RRIP tasks. △ ...
LLMHub is a lightweight management platform designed to streamline the operation and interaction with various language models (LLMs). It provides an intuitive command-line interface (CLI) and a RESTful API to manage, start, stop, and interact with LLMs.
Introductory Guide where we will talk about Different Techniques of Fine Tuning LLMs. Fine-tuning Large Language Models (LLMs) involves adapting a pre-trained language model to a specific task or domain by training it on a smaller, task-specific dataset. The main goal of fine-tuning is to ...