QLoRA: efficiently LLM Fine-Tuning
Parameter-efficient training (PEFT) techniques offer a way to fine-tune large language models (LLMs) on custom datasets with minimal computational resources.
Read MoreParameter-efficient training (PEFT) techniques offer a way to fine-tune large language models (LLMs) on custom datasets with minimal computational resources.
Read MoreNvidia just released “Chat with RTX” a local app that allows you to create a personal AI chatbot (LLM) based
Read MoreWant to understand Language Models? Stanford CS25, titled “Transformers United,” is a comprehensive lecture series available on YouTube, presented by
Read MoreAs tax season approaches with an April 30 filing deadline, this article offers valuable tax tips for Canadians who got married, entered a common-law partnership, or had a child. Key advice includes maximizing deductions through shared tax credits, optimizing returns with partner’s unused credits, and reaping benefits like the Registered Education Savings Plan. Particularly, it highlights the importance of updating your relationship status with the Canada Revenue Agency and the various tax breaks available for parents, such as adoption credits, regional RESP grants, and the Canada Child Benefit.
Read MoreHugging Face recently launched Hugging Chat Assistant, a direct competitor to OpenAI’s GPT Store. This platform allows the creation of
Read MoreGoogle’s Gemini Ultra, set for release this Wednesday according to a leaked document, targeting it as a direct competitor to
Read More“Build a Large Language Model (From Scratch)” by Sebastian Raschka blew up on Github this week and collected over 5000
Read MoreIn the evolving landscape of artificial intelligence (AI), Language Learning Models (LLMs) like ChatGPT are revolutionizing how we interact with
Read MoreHugging Face introduced four leaderboards to rank the performance and trustworthiness of large language models (LLMs). What’s new: The open source
Read MoreFigure, in collaboration with OpenAI, released Figure 01, a humanoid robot utilizing a multimodal model for real-time interactions and task
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