In addition to technical skills, engage in AI communities, keep up with industry news, and prep for interviews with expert advice to master LLMs and understand AI's cultural and ethical aspects. My guide for learning to work with LLMs:
PROMPT ENGINEERING
-
First Dynamic AI-Powered Website: Brand Innovation
By
–
Which brand will build the first completely dynamic website? The prompt determines the experience. Wild possibilities.
-
Grammar-Based Decoding and Model Quality for Structured Output
By
–
Grammar-based decoding (like logit biasing) helps, but isn't a panacea – model quality is also important for generating correct values, even after you have the structure locked down.
-
Prompt Engineering Strategies Impact on Llama Model Performance
By
–
We also explored different prompting strategies using a 32B Llama model to see how they impact output performance. For this task (and model), simple, static strategies didn’t work that well in isolation!
-
Testing LLM Performance with Prompting and Decoding Techniques
By
–
We tested popular models like GPT-4, Claude, Llama, and Yi using different prompting and decoding techniques to see how much they impact performance for things like: – Question classification
– Sentiment analysis
– Nested JSON schema correctness -
LangChain releases new LLM structured extraction benchmark
By
–
Anyone building with LLMs knows structured extraction is key. Today we are releasing a new extraction benchmark testing LLM ability to infer structured data from chat logs. We've also shared some initial results below: https://
blog.langchain.dev/extraction-ben
chmarking/
… -
Building an Appointment Booking Assistant Step by Step
By
–
Learn how to build an appointment booking assistant step by step👇https://t.co/vJIRAklMmk https://t.co/g1CuYcJOKg pic.twitter.com/IOTzlN7mGU
— FlowiseAI (@FlowiseAI) 5 décembre 2023Learn how to build an appointment booking assistant step by step https://
youtu.be/A_gMy3sofEE?si
=8_49qkd1bDfjUd4j
… -
5 Essential Steps to Building Language Models Applications
By
–
5 Essential Steps to Building Language Models Apps Dive into the world of Large Language Models (LLMs) with the essential steps to build, refine, and deploy AI-powered applications. Learn about selecting the right LLM, tailoring it to your needs, evaluating its performance,
-
LLM as Modern Notebook: Creative Inquiry and Experimentation
By
–
Your LLM history is a modern notebook. You fill it with inquiries, observations, experiments, and ideas in the same way that Da Vinci filled his notebooks with inquiries, observations, experiments, and ideas.
-
ChatGPT vs OpenAI API Assistants: Key Differences Explained
By
–
Curious about the different between @ChatGPTapp GPT's and Assistants via the @OpenAI API? This article goes into the differences and when you would want one vs the other.