My interest lies in the AI advancements of OpenAI, Google, Meta, Apple, AWS, NVIDIA, Microsoft, AMD, HuggingFace, DataBricks, Snowflake, Cohere, Anthropic, AI21 Labs, Perplexity, etc. My focus areas include AIGC, LLM(such as Gemini, Claude, Llama, Mixtral), GPU, chatbot, AI agents, robotics, image generation, speech synthesis, video generation, code assistants, etc. I am not interested in autonomous driving or news unrelated to AI.
Hugging Face and Argilla collaborated on the Data Is Better Together initiative, aiming to empower the open-source community to create impactful datasets collectively. The project focused on the prompt ranking project, creating a dataset of 10K prompts, both synthetic and human-generated, ranked by quality. The initiative has been organized into two sections: community efforts and cookbook efforts, allowing everyone to contribute.
AI | Rating: 81 | 2024-06-22 03:39:06 AM |
Claude.ai has launched Claude 3.5 Sonnet, a new model that outperforms competitors and Claude 3 Opus on various evaluations. It is available for free on Claude.ai and the Claude iOS app, with higher rate limits for subscribers. The model costs $3 per million input tokens and $15 per million output tokens, with a 200K token context window.
AI | Duplicated with: 1 | Rating: 89 | 2024-06-22 03:38:36 AM |
Researchers evaluated the performance of PaLM2 models in multilingual tasks, comparing direct inference with pre-translation. They found that direct inference in the source language outperformed pre-translation to English. This study focused on generative tasks like text summarization and attributed QA, where the output needs to be in the source language.
AI | Rating: 81 | 2024-06-17 05:15:35 PM |
BigCodeBench is a benchmark for evaluating large language models on solving practical and challenging programming tasks. The current benchmark, HumanEval, is criticized for being too simple and not representative of real-world programming tasks. The new benchmark aims to address these concerns by including algorithm-oriented tasks and diverse libraries and function calls.
AI | Rating: 85 | 2024-06-17 02:15:30 PM |
NVIDIA contributed the largest ever indoor synthetic dataset to the Computer Vision and Pattern Recognition (CVPR) conference's annual AI City Challenge. The challenge, which garnered over 700 teams from nearly 50 countries, tasks participants to develop AI models to enhance operational efficiency in physical settings. The datasets were generated using NVIDIA Omniverse, a platform of application programming interfaces.
AI | Rating: 85 | 2024-06-17 01:07:05 PM |
NVIDIA has been ranked as the second-best place to work in America, according to Glassdoor's list of best employers for 2024. The company has risen in the rankings, indicating a positive work environment and employee satisfaction.
AI | Rating: 81 | 2024-06-14 09:15:22 PM |
Google's research is at the forefront of data mining, focusing on developing metrics, experimental methodologies, and modeling to create parsimonious representations of complex problems. These challenges arise in various products and services, including auction algorithms and road map quality measurement.
AI | Rating: 80 | 2024-06-14 07:08:52 PM |
Google's research philosophy has expanded to incorporate open-ended, long-term research driven by scientific curiosity rather than current product needs. The company believes successful industry research requires managing a portfolio of projects with varying time horizons, levels of risk, and goals. Google's research has become more important than ever to its mission, and the company strives to create an environment conducive to various types of research across different time scales and levels of risk.
AI | Rating: 75 | 2024-06-14 07:08:31 PM |
NVIDIA has released Nemotron-4 340B, a family of open models that can generate synthetic data for training large language models (LLMs) in various industries. The models are optimized for NVIDIA NeMo and NVIDIA TensorRT-LLM. Developers can use Nemotron-4 340B to generate high-quality training data for their LLMs, which is crucial for their performance and accuracy.
AI | Rating: 90 | 2024-06-14 04:05:26 PM |
Hugging Face Accelerate exposes two popular implementations of the ZeRO Redundancy Optimizer algorithm, one from DeepSpeed and the other from PyTorch. The organization upstreamed a precision-related change and a concept guide to enable seamless switching between the backends. A training pipeline was run with DeepSpeed and PyTorch FSDP, resulting in differing results.
AI | Rating: 88 | 2024-06-13 06:35:32 PM |