large language models
Artificial Intelligence
Direct Preference Optimization: A Complete Guide
import torch
import torch.nn.functional as F
class DPOTrainer:
def __init__(self, model, ref_model, beta=0.1, lr=1e-5):
self.model = model
self.ref_model =...
Artificial Intelligence
MIT researchers use large language models to flag problems in complex systems
Identifying one faulty turbine in a wind farm, which might involve ...
Artificial Intelligence
Mistral 2 and Mistral NeMo: A Comprehensive Guide to the Latest LLM Coming From Paris
Founded by alums from Google's DeepMind and Meta, Paris-based startup Mistral AI has consistently made waves within the AI community since 2023.Mistral AI first caught the world's attention with its debut model, Mistral 7B,...
Artificial Intelligence
Method prevents an AI model from being overconfident about incorrect answers
People use large language models for an enormous array of tasks, from...
Artificial Intelligence
Large language models don’t behave like people, although we may expect them to
One thing that makes large language models (LLMs) so powerful is the...
Artificial Intelligence
Understanding Large Language Model Parameters and Memory Requirements: A Deep Dive
Large Language Models (LLMs) has seen remarkable advancements in recent times. Models like GPT-4, Google's Gemini, and Claude 3 are setting latest standards in capabilities and applications. These models are usually not only enhancing...
Artificial Intelligence
MARKLLM: An Open-Source Toolkit for LLM Watermarking
LLM watermarking, which integrates imperceptible yet detectable signals inside model outputs to discover text generated by LLMs, is important for stopping the misuse of huge language models. These watermarking techniques are mainly divided into...
Artificial Intelligence
Natural language boosts LLM performance in coding, planning, and robotics
Large language models (LLMs) have gotten increasingly useful for programming and robotics...
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