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Machine Learning

OpenAI Introduces Sora: The Future of Video Generation with AI

The digital content creation landscape is undergoing a remarkable transformation, and the introduction of Sora, OpenAI’s pioneering text-to-video model, signifies a breakthrough in this journey. This state-of-the-art diffusion model redefines the landscape of video generation, offering unprecedented capabilities that promise to transform how we interact with and create visual content. Drawing inspiration from the breakthroughs…
March 7, 20240Likes0Comments
Machine Learning

Researchers from Meta and UNC-Chapel Hill Introduce Branch-Solve-Merge: A Revolutionary Program Enhancing Large Language Models’ Performance in Complex Language Tasks

BRANCH-SOLVE-MERGE (BSM) is a program for enhancing Large Language Models (LLMs) in complex natural language tasks. BSM includes branching, solving, and merging modules to plan, crack, and combine sub-tasks. Applied to LLM response evaluation and constrained text generation with models like Vicuna, LLaMA-2-chat, and GPT-4, BSM boosts human-LLM agreement, reduces biases, and enables LLaMA-2-chat to…
March 7, 20240Likes0Comments
Text Classification

indonesian-roberta-base-sentiment-classifier

Indonesian RoBERTa Base Sentiment Classifier Indonesian RoBERTa Base Sentiment Classifier is a sentiment-text-classification model based on the RoBERTa model. The model was originally the pre-trained Indonesian RoBERTa Base model, which is then fine-tuned on indonlu's SmSA dataset consisting of Indonesian comments and reviews. After training, the model achieved an evaluation accuracy of 94.36% and…
March 7, 20240Likes0Comments
VLLMs

llava-1.6-mistral-7b-gguf

GGUF Quantized LLaVA 1.6 Mistral 7B Updated quants and projector from PR #5267 Provided files Name Quant method Bits Size Use case llava-v1.6-mistral-7b.Q3_K_XS.gguf Q3_K_XS 3 2.99 GB very small, high quality loss llava-v1.6-mistral-7b.Q3_K_M.gguf Q3_K_M 3 3.52 GB very small, high quality loss llava-v1.6-mistral-7b.Q4_K_M.gguf Q4_K_M 4 4.37 GB medium, balanced quality - recommended llava-v1.6-mistral-7b.Q5_K_S.gguf Q5_K_S 5 5.00 GB large, low quality loss - recommended llava-v1.6-mistral-7b.Q5_K_M.gguf Q5_K_M 5 5.13 GB large, very low quality loss - recommended llava-v1.6-mistral-7b.Q6_K.gguf Q6_K 6 5.94 GB very large, extremely low quality loss llava-v1.6-mistral-7b.Q8_0.gguf Q8_0 8 7.7…
March 7, 20240Likes0Comments