A Beginner's Guide to Using Large Language Models (LLMs) With the PaLM API
#futureofai #aitrends #generativeai #opensourcellm #palm2 #googlepalm #machinelearningai #hackernoontopstory #hackernoones #hackernoonhi #hackernoonzh #hackernoonvi #hackernoonfr #hackernoonpt #hackernoonja
https://hackernoon.com/a-beginners-guide-to-using-large-language-models-llms-with-the-palm-api
#futureofai #aitrends #generativeai #opensourcellm #palm2 #googlepalm #machinelearningai #hackernoontopstory #hackernoones #hackernoonhi #hackernoonzh #hackernoonvi #hackernoonfr #hackernoonpt #hackernoonja
https://hackernoon.com/a-beginners-guide-to-using-large-language-models-llms-with-the-palm-api
Hackernoon
A Beginner's Guide to Using Large Language Models (LLMs) With the PaLM API
This tutorial is a comprehensive introduction to leveraging Large Language Models (LLMs) through the PaLM API for crafting personalized cover letters to enhance
BIG-Bench Mistake: Implementational Details That Are Important
#llms #bigbenchmistake #cotprompting #bigbenchdatasets #cotstyletraces #palm2 #3shotprompting #aiprompts
https://hackernoon.com/big-bench-mistake-implementational-details-that-are-important
#llms #bigbenchmistake #cotprompting #bigbenchdatasets #cotstyletraces #palm2 #3shotprompting #aiprompts
https://hackernoon.com/big-bench-mistake-implementational-details-that-are-important
Hackernoon
BIG-Bench Mistake: Implementational Details That Are Important | HackerNoon
We use PaLM 2 L (Unicorn) to generate the traces used in BIG-Bench Mistake. All traces are generated at temperature = 0. We algorithmically append “Thought N:”