Gorilla
gorilla.cs.berkeley.eduSaved by Darren LI
Gorilla
in models with between 2 and 7 billion parameters, new capabilities emerge such as the ability to generate different creative text in formats like poems, code, scripts, musical pieces, emails, and letters, and to answer even open-ended and challenging questions in an informative way.
Ben Auffarth • Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
GPT-4 Turbo performs better than our previous models on tasks that require the careful following of instructions, such as generating specific formats (e.g., “always respond in XML”). It also supports our new JSON mode, which ensures the model will respond with valid JSON. The new API parameter response_format enables the model to constrain its outp... See more
New models and developer products announced at DevDay
Could you have GPT-4 ask questions to the user rather than force the user to do prompt engineering? An experiment says this gave superior results. My read is that they tested this on easy cases where we already knew it would work, so we did not learn much.
Shortwave — rajhesh.panchanadhan@gmail.com [Gmail alternative]
OpenAI’s product trades Google’s vastness for directness, dimensionality for simplicity. It is Gaiman’s librarian, leveraging vast sums of human knowledge to provide a definitive answer – even if it sometimes gets it wrong. In E.O. Wilson’s Age of the Synthesizer, ChatGPT’s talent for distillation, generation, coalescence – managed at speed – may
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