LLM self-play on 20 Questions. gpt-3.5-turbo has a score of 68/1823…, by Evan Pu

PDF) A Novel Approach to Voice of Customer Extraction using GPT-3.5 Turbo: Linking Advanced NLP and Lean Six Sigma 4.0

The Language of Modifications. a short study on the languages of…, by Evan Pu

How to fine-tune GPT-3.5 Turbo Complete Crash Course

LLM Output — Evaluating, debugging, and interpreting, by Lan Chu, Dec, 2023

Is Google's Flan-T5 Better Than OpenAI GPT-3?, by Daniel Avila

LLM self-play on 20 Questions. gpt-3.5-turbo has a score of 68/1823…, by Evan Pu

LLM self-play on 20 Questions. gpt-3.5-turbo has a score of 68/1823…, by Evan Pu

S_04. Challenges and Applications of LLMs - Deep Learning Bible - 3. Natural Language Processing - Eng.

Fine-Tuning GPT-3.5 Turbo – How to Craft Your Own Proprietary LLM – Be on the Right Side of Change

GitHub - asahi417/lm-question-generation: Multilingual/multidomain question generation datasets, models, and python library for question generation.

Fine-Tuning GPT-3.5 Turbo – How to Craft Your Own Proprietary LLM – Be on the Right Side of Change

GPT-3.5, GPT-4, or BARD? Evaluating LLMs reasoning ability in zero-shot setting and performance boosting through prompts - ScienceDirect

Example Code & Implementation Considerations For GPT 3.5 Turbo, ChatML & Whisper, by Cobus Greyling

GPT-3.5, GPT-4, or BARD? Evaluating LLMs reasoning ability in zero-shot setting and performance boosting through prompts - ScienceDirect

Andrew Jardine on LinkedIn: #llm #gpt4 #llama #opensource