Qwen 3.8 Max is now available on AI Gateway. Qwen 3.8 Max handles text-only and vision-language work in one model, with 2.4 trillion parameters and a context window of up to 1 million tokens. The model is suited for software engineering and…
Firehose
Filtered to tagged “natural language processing” · clear filters
Browse: People · Companies · Papers · Podcasts · Hacker News · Deep dives
Browse by tag
artificial intelligence 57continual learning 24agentic coding 21open-weight models 20AI 16AI agents 13reinforcement learning 11cybersecurity 9AI safety 8finance 8language models 7large language models 7open-source 7productivity 7deep learning 6machine learning 6natural language processing 6Reinforcement learning 6tech 6Databricks 5robotics 5software development 5Agentic AI 4benchmarking 4Diffusion models 4multi-agent systems 4Recursive self-improvement 4world models 4AI ethics 3AI infrastructure 3
This paper introduces a system called EMBL AI Librarian that helps AI agents find relevant life-science papers and evidence by providing a natural language interface. Practitioners in life sciences and AI development may care about this paper because it shows how a better knowledge retrieval system can improve the performance of AI agents in various tasks.
This paper introduces a framework to audit system prompts in AI applications, examining how developers design and use these prompts to govern the behaviors of foundation models. Practitioners should care because the lack of transparency and accountability in system prompts can erode trust in AI systems.
This paper investigates how AI-assisted coding assistants can better understand and respond to users' ambiguous coding requests by leveraging their past experiences. A practitioner might care about developing more effective coding assistants that can reduce the need for repeated clarification.
This paper introduces a new approach to agentic speech recognition that uses a memory to help correct mistakes and improve accuracy. By limiting the corrections made, the system can avoid over-correcting and improve performance on challenging tasks.