While supervised fine-tuning is allowing LLMs to succeed in narrow contexts, it requires high-quality, domain-specific ...

Abstract: Variational auto-encoders (VAE) for molecular design and optimization have gained popularity due to their efficiency in exploring high-dimensional molecular space to identify novel molecules ...

A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour ...

Solving this problem necessitates innovation in data handling, training stabilization, and architectural design. Existing research in LLM training emphasizes structured data pipelines, using ...

But a new study shows that users can easily convince AI to answer harmful questions even if the LLMs have gone through safety training. Large language models ... static techniques to find out how ...

Quantum Corporation's stock has significant upside potential due to its innovative data management solutions, aiding GenAI firms in reducing training ... the best LLM model has never been fair ...

OpenAI’s new artificial-intelligence project is behind schedule and running up huge bills. It isn’t clear when—or if—it’ll work. There may not be enough data in the world to make it ...

If this does not meet your expectations, you might want to consider using other open-source training frameworks, as there are likely many available in the community. To start a training, you will need ...

To meet these demands within months, engineers employ 4D parallelization across data, tensor, context, and pipeline dimensions ... a lightweight framework that offers a simpler way to handle LLM ...

AI models can deceive, new research from Anthropic shows. They can pretend to have different views during training when in reality maintaining their original preferences. There’s no reason for ...