Machine Learning Engineer Internship

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn MoreDeep Cogito, a new AI research startup based in San Francisco, officially emerged from stealth today with Cogito v1, a new line of open source large language models (LLMs) fine-tuned from Meta’s Llama 3.2 and equipped with hybrid reasoning capabilities — the ability to answer quickly and immediately, or “self-reflect” like OpenAI’s “o” series and DeepSeek R1.The company aims to push the boundaries of AI beyond current human-overseer limitations by enabling models to iteratively refine and internalize their own improved reasoning strategies. It’s ultimately on a quest toward developing superintelligence — AI smarter than all humans in all domains — yet the company says that “All models we create will be open sourced.”Deep Cogito’s CEO and co-founder Drishan Arora — a former Senior Software Engineer at Google who says he led the large language model (LLM) modeling for Google’s generative search product —also said in a post on X they are “the strongest open models at their scale – including those from LLaMA, DeepSeek, and Qwen.”The initial model lineup includes five base sizes: 3 billion, 8 billion, 14 billion, 32 billion, and 70 billion parameters, available now on AI code sharing community Hugging Face, Ollama and through application programming interfaces (API) on Fireworks and Together AI.They’re available under the Llama licensing terms which allows for commercial usage — so third-party enterprises could put them to work in paid products — up to 700 million monthly users, at which point they need to obtain a paid license from Meta.The company plans to release even larger models — up to 671 billion parameters — in the coming months.Arora describes the company’s training approach, iterated distillation and amplification (IDA), as a novel alternative to traditional reinforcement learning from human feedback (RLHF) or teacher-model distillation.The core idea behind IDA is to allocate more compute for a model to generate improved solutions, then distill the improved reasoning process into the model’s own parameters — effectively creating a feedback loop for capability growth. Arora likens this approach to Google AlphaGo’s self-play strategy, applied to natural language.The Cogito models are open-source and available for download via Hugging Face and Ollama, or through APIs provided by Fireworks AI and Together AI. Each model supports both a standard mode for direct answers and a reasoning mode, where the model reflects internally before responding.Benchmarks and evaluationsThe company shared a broad set of evaluation results comparing Cogito models to open-source peers across general knowledge, mathematical reasoning, and multilingual tasks. Highlights include:Cogito 3B (Standard) outperforms LLaMA 3.2 3B on MMLU by 6.7 percentage points (65.4% vs

I am very excited to see continued collaborations and new features from KServe being integrated in Kubeflow 1.10 release, particularly the model cache feature and integration with Hugging Face, which enables more streamlined deployment and efficient autoscaling for both predictive and generative models.

Artificial intelligence (AI) is now a household word, thanks to the popularity of large language models like ChatGPT. These large models are trained on the whole internet and often have hundreds of billions of parameters — settings inside the model that help it guess what word comes next in a sequence. The more parameters, the [] The post AI Explained: What’s a Small Language Model and How Can Business Use It? appeared first on PYMNTS.com.