Artificial intelligence
fromThe Atlantic
1 day agoThe AI Industry Wants to Automate Itself
Protesters in San Francisco demand a halt to the development of self-improving AI technologies, fearing existential risks to humanity.
#model-conversion
#model-conversion
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#ai-development
Online learning
fromwww.businessinsider.com
3 days agoInside the OpenAI project where freelancers train ChatGPT on everything from farming to commercial flying
Contractors are enhancing ChatGPT's capabilities in specialized fields through Project Stagecraft, employing thousands for data labeling and task creation.
fromArs Technica
1 week agoGoogle's TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x
PolarQuant is doing most of the compression, but the second step cleans up the rough spots. Google proposes smoothing that out with a technique called Quantized Johnson-Lindenstrauss (QJL).
Roam Research
Business intelligence
fromComputerworld
2 weeks agoMistral launches Forge to help enterprises build their own AI models
Enterprises are still experimenting with AI and lack clarity on deployment, with serious implementations unlikely for at least two years, though data sovereignty concerns create opportunities for customized AI solutions.
fromFast Company
1 month agoShould you be using AI for performance reviews?
Before you can even get the opportunity to impress a human interviewer, you will first need to impress the algorithm! More recently, AI has also been used to assist current employees in doing their jobs and then to help their employers evaluate how well employees are performing in those jobs.
Miscellaneous
Python
fromPyImageSearch
3 weeks agoDeepSeek-V3 Model: Theory, Config, and Rotary Positional Embeddings - PyImageSearch
DeepSeek-V3 introduces revolutionary architectural innovations including Multihead Latent Attention that reduces KV cache memory by 75% while maintaining model quality, addressing critical challenges in inference efficiency, training cost, and long-range dependency capture.
#ai-agent-evaluation
Software development
fromInfoQ
2 weeks agoEvaluating AI Agents in Practice: Benchmarks, Frameworks, and Lessons Learned
AI agents require system-level evaluation across multiple turns measuring task success, tool reliability, and real-world behavior rather than single-turn NLP benchmarks like BLEU and ROUGE scores.
Artificial intelligence
fromTNW | Artificial-Intelligence
2 weeks agoAI analytics agents need guardrails, not more model size
Larger AI models cannot solve enterprise governance and data consistency problems; organizations need governed analytics environments with semantic consistency to ensure reliable AI-driven insights.
Artificial intelligence
fromFast Company
2 weeks agoOpenAI's new frontier models mark a huge change in how AI will be built
OpenAI released two frontier models in early March: GPT-5.3 optimized for fast responses and GPT-5.4 optimized for deep analytical work, representing a shift toward specialized AI models.
Artificial intelligence
fromTechCrunch
2 weeks agoMistral bets on 'build-your-own AI' as it takes on OpenAI, Anthropic in the enterprise | TechCrunch
Mistral Forge enables enterprises to build custom AI models trained on their own data, addressing the gap between generic internet-trained models and business-specific needs.
Artificial intelligence
fromInfoQ
1 month agoHugging Face Introduces Community Evals for Transparent Model Benchmarking
Community Evals enables benchmark datasets on the Hugging Face Hub to host leaderboards, collect reproducible evaluation results via Git-based .eval_results YAML submissions, and display scores.
fromInfoQ
1 month agoBuilding Embedding Models for Large-Scale Real-World Applications
What happens under the hood? How is the search engine able to take that simple query, look for images in the billions, trillions of images that are available online? How is it able to find this one or similar photos from all that? Usually, there is an embedding model that is doing this work behind the hood.
Artificial intelligence
Artificial intelligence
fromInfoQ
2 months agoAutonomous Big Data Optimization: Multi-Agent Reinforcement Learning to Achieve Self-Tuning Apache Spark
A Q-learning agent autonomously learns and generalizes optimal Spark configurations by discretizing dataset features and combining with Adaptive Query Execution for superior performance.
Artificial intelligence
fromEntrepreneur
2 months agoComparing AI Models With This Tool Can Save Your Business Time and Money
ChatPlayground AI aggregates over 25 leading AI models into one interface for instant side-by-side comparisons, streamlined workflows, and a lifetime Unlimited subscription for entrepreneurs.
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