TLDR AI

TLDR AI 2023-05-10

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01HEADLINES & LAUNCHES

TURNING A FOUNDATION MODEL INTO A CHAT ASSISTANTS

Star coder is an excellent new model from the big code project that can write 86 different programming languages. This post explores how to prompt the model to participate in conversations, how to use chat markup language, and even how to tune these models. Lots of interesting tidbits here for groups interested in taking an open source model and fine tuning it for their own chat-based use cases.

huggingface.co12 min read

02RESEARCH & INNOVATION

CHATBOTS

This research introduces InternChat (iChat), a tool that combines powerful chatbots like ChatGPT with non-verbal cues like pointing movements, allowing users to directly manipulate images or videos. By adding gestures to language, iChat makes communication with chatbots more efficient and accurate, especially for tasks involving complex visual scenarios, making it a promising development for future interactive systems.

arxiv.org11 min read

03ENGINEERING & RESOURCES

ENHANCING LANGUAGE MODELS WITH FEDERATED INSTRUCTION TUNING

The study introduces a new method, Federated Instruction Tuning (FedIT), to train powerful language models like ChatGPT and GPT-4, by learning from many different devices' data without violating privacy. This makes the models better at understanding and responding naturally in diverse situations, and the researchers have also created a tool, 'Shepherd', to help others use this approach easily.

arxiv.org24 min read

FRUGALGPT: COST-EFFECTIVE APPROACHES FOR UTILIZING LLMS

This study examines the high costs associated with using popular language model APIs like GPT-4, ChatGPT, and J1-Jumbo, and suggests three strategies for reducing these costs: prompt adaptation, LLM approximation, and LLM cascade. The research introduces FrugalGPT, an efficient application of the LLM cascade strategy that can match the performance of top language models at a fraction of the cost or even improve their accuracy.

arxiv.org8 min read

SUR-ADAPTER: AN UPGRADE FOR TEXT-TO-IMAGE MODELS

This study introduces a new way, called SUR-adapter, to help computer programs called diffusion models turn simple descriptions into detailed images. By teaching these models to understand stories better and using a new dataset of over 57,000 samples, the researchers made the models better at creating high-quality images from simple descriptions, making them easier and more fun to use.

arxiv.org14 min read

04MISCELLANEOUS

IBM UNVEILS WATSONX AI PLATFORM

IBM on Tuesday launched Watsonx, a new artificial intelligence and data platform to help companies integrate AI in their business.

archive.ph2 min read