What is an agent or a GPT agent? GPT agents are this emerging area where instead of going one step at a time as a prompt engineer iterating on the prompt. You let the model write X prompts and make as many commands as is required for the model to accomplish a goal you set out.
PROMPT ENGINEERING
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What is Prompt Engineering: Iterative Refinement Process
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What is a prompt engineer? Prompt engineering is the iterative process of refining the prompt to have the model do what you want. The model might not always do what you want the first time you ask. You modify your prompt and see if you can get it closer to the output you want.
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Understanding Prompts: Text Input for AI Models
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What is a prompt? Prompts are just text that you send to the model.
And it can be something as simple as a question or a statement or a command, but it can also be super intricate, like a multi-paragraph or a 20 (n) step process. It's essentially what you want the model to do. -
ChatGPT Prompts CheatSheet to Boost Productivity
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ChatGPT Prompts CheatSheet to 10x your #productivity with #ChatGPT
Credits: Joerg Storm high res version (code zq0lilk) link below! https://
lnkd.in/gctY_G2s #chatbots #chatgpt4 #chatgpt3 #GenerativeAI @HaroldSinnott @Xbond49 @enricomolinari @segundoatdell @marcusborba -
Defining and Categorizing LLM Fine-tuning Approaches
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How do we define and categorize LLM "finetuning" these days? There's 1) Supervised finetuning: to 1a) train an encoder-LLM for classification or 1b) train a decoder-LLM to generate a specific response text. [1/2]
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Three types of fine-tuning approaches for language models
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[2/2] 2) Instruction finetuning: usually RLHF to generate a specific response. (But can also refer to 1b depending on the technique) 3) Long-context finetuning: like pretraining but w longer contexts (as per Code Llama paper)?
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Fine-tune Models to Replace GPT-4 Using LangSmith Data
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This is really useful for finetuning models to replace GPT-4 at particular points in your system Log all data flowing through your app to LangSmith Export with some filter (all runs, all runs with positive feedback, etc) to a dataset Finetune a model on this data!
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ChatGPT Pro: Master AI Forecasting and Pattern Prediction
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Predict the Future, Literally: Join the league of AI forecasters who turn patterns into predictions. AI expertise can make you a modern-day Guru! This is How to Become a ChatGPT Pro https://
shorturl.at/ajF49 #AI #Innovation #tech #IoT -
Asking ChatGPT to evaluate its output and suggest missing input
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What additional input do you need from me to help you write better output? This basically asks ChatGPT to evaluate its own output, as well as the initial prompt, and suggest additional information to improve the output.
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Devil’s advocate technique to improve ChatGPT
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Try to argue against your own output and see if you can find any flaws. If so, address them. Walk me through the process. This is “advocate of the devil" trick will help ChatGPT offer a better way to catch flaws in its answers.
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