Sempre Health leverages Hugging Face's Expert Acceleration Program to speed up its ML roadmap. The company gains technical expertise and resources to deploy models to production faster.
Introduction to Q-Learning fundamentals, a reinforcement learning algorithm. Covers core concepts and iterative learning mechanisms for agent policy optimization.
Hugging Face publishes an introductory guide to deep reinforcement learning (DRL). The article covers fundamental concepts, key algorithms, and practical applications of DRL in modern AI.
Hugging Face AutoTrain enables no-code opinion classification through a web interface. Integration with Kili for data annotation. Complete workflow: labeling, training, and deploying text classification models.
OpenAI issues call for expressions of interest to study economic impacts of large language models. Research initiative to document macroeconomic and sectoral effects of LLMs.
Explanatory article on BERT, Google's foundational NLP model (2018). Covers bidirectional Transformer architecture, pre-training on massive corpora, and applications in text classification and entity extraction.
OpenAI publishes an approach to align language models for instruction-following. The method improves models' ability to understand and execute precise user directives, reducing off-topic responses.
Hugging Face upgrades its Hub search engine with advanced capabilities. The platform integrates sophisticated filters and optimized indexing to accelerate discovery of models, datasets, and spaces.
OpenAI launches a Residency program to develop AI talent. Initiative to support early-career researchers and engineers.
Hugging Face analyzes whether LLMs follow Moore's Law: doubling of capabilities every 18-24 months. The article examines scaling curves, training costs, and recent model trajectories to assess this hypothesis.
Hugging Face announces the arrival of machine learning as code. The platform emphasizes integrating ML into standard development workflows, with tools and frameworks enabling ML to be treated like conventional software code.
Hugging Face provides guidance for hosting models and datasets on Spaces using Streamlit. The platform simplifies deploying AI applications without complex infrastructure.
Helen Toner joins OpenAI's board of directors. An AI policy and safety expert, she brings governance expertise to the organization.
Gradio 2.0 enables easy integration and mixing of Hugging Face models into interactive web interfaces. The update improves HF model compatibility and simplifies deployment of AI applications.
OpenAI announces completion of the 2021 Scholars program, a six-month mentorship initiative. Participants produced open-source research projects with stipends and support from OpenAI.
Hugging Face publishes a guide on optimizing BERT inference on CPU. First part of a series exploring scaling techniques to improve performance without GPU.
Over 300 applications leverage GPT-3 through OpenAI's API for search, conversation, text completion, and advanced AI features.
Hugging Face curates key February 2021 publications on long-range transformers. Focus on extending context length and efficient architectures for processing long sequences.
OpenAI releases analysis of large language models' capabilities and limitations, covering societal impacts. The study examines strengths, weaknesses, and ethical implications of these systems without announcing a new model or specific benchmark.
Hugging Face optimizes TensorFlow models in its Transformers library to accelerate inference. Performance improvements enable faster deployments without accuracy loss.
OpenAI releases an API for accessing its new AI models. Official announcement with no specific technical details provided in the excerpt.
OpenAI releases a policy paper identifying four strategies to improve industry cooperation on AI safety: communicating risks and benefits, technical collaboration, increased transparency, and incentivizing standards. Analysis shows competitive pressures could create a collective action problem, potentially causing AI companies to under-invest in safety.
OpenAI's first Fellows cohort concluded. Six-month apprenticeship transformed machine learning beginners into core OpenAI contributors.
OpenAI opens applications for its second Scholars cohort: 6–10 stipends and mentorship for underrepresented individuals to study deep learning full-time for 3 months and open-source a project.
OpenAI Five lost two matches against top Dota 2 players at The International 2018 in Vancouver, but maintained a competitive position for the first 20–35 minutes of both games.
OpenAI launches its first Scholars 2018 program, training experienced software developers in machine learning. The program is now underway and publicly documented.
OpenAI announces results from the first Retro Contest, exploring development of algorithms that generalize from previous experience.
OpenAI hosted its first hackathon on March 3rd with 100 members of the AI community. The event brought together developers and researchers to work on projects using OpenAI technologies.
OpenAI releases work on generating interpretable and pedagogical examples to improve understanding of AI models. The approach aims to make AI system decisions more transparent and educational.
OpenAI introduces an uncertainty-based exploration method (UCB) using Q-ensembles for reinforcement learning. The technique improves exploration by estimating uncertainty through multiple Q-estimators, enabling better exploration-exploitation trade-off.
OpenAI supports the launch of Distill, a new journal focused on excellent communication of machine learning results, whether novel or existing.
OpenAI introduces a variational lossy autoencoder, an unsupervised compression architecture that learns compact latent representations. The method combines VAE and lossy compression to reduce dimensionality of complex data.
OpenAI publishes a semi-supervised knowledge transfer method for deep learning from private training data. The technique combines public and private data while preserving privacy of sensitive data.
Technical critique on recent quantization: Google's implementation is flawed (token embed quantized to q6k instead of --pure), llama-quantize hardcodes -7 incorrectly, and 32 block groups are misaligned. Unsloth Q4_K_XL performs better (pure q4_0). A patch is being developed.
OpenAI has confidentially filed an IPO application with the SEC. No details on timeline or valuation have been disclosed.
Apple pursues aggressive pricing strategy to attract small developers with cheaper AI models. Goal: expand AI app ecosystem across its platforms against competition from OpenAI and Google.
NASA's experimental X-59 aircraft completed its first supersonic flight. The aircraft tests sonic boom reduction technology for future commercial supersonic flights.
Apple announces new AI architecture built around Google Gemini models. The platform integrates Gemini for natural language processing and reasoning tasks. Limited technical details in initial announcement.
A man was jailed for a month despite Flock geolocation data showing he was 5 miles from the crime scene. The case raises concerns about the reliability of automated recognition systems and their use in criminal justice.
Nvidia democratizes AI on PCs with computing power comparable to supercomputers. AI shifts from cloud to local machines, transforming personal computing.