🎓 Mastering Large Language Models in 2023: A Comprehensive Guide

📖 TUTORIALS & CASE STUDIES

Mastering Large Language Models in 2023: A Comprehensive Guide
read time: 30 minutes

Louis Bouchard provides a comprehensive guide to mastering Large Language Models (LLMs) in 2023. The guide is designed for those with a basic programming and machine learning background and includes resources for learning, practicing, and staying updated in the field of LLMs.

Practical Tips for Finetuning Large Language Models with LoRA
read time: 15 minutes
This article provides practical insights into finetuning Large Language Models (LLMs) using Low-Rank Adaptation (LoRA). It discusses the consistency of LoRA, trade-offs with QLoRA, the impact of learning rate schedulers, and the comparison between Adam and SGD optimizers. The author also addresses common questions around LoRA and shares lessons from numerous experiments.

Building Custom Chatbots with OpenAI GPTs: A Comprehensive Guide
read time: 20 minutes
OpenAI's DevDay introduced GPTs, a new product that simplifies the creation of custom versions of ChatGPT for specific tasks. This step-by-step guide explores the features of GPTs, how to build a simple GPT, and how to extend it with APIs and custom knowledge.

Bootstrapping Self-Awareness in GPT-4: A Recursive Self-Inquiry Approach
read time: 15 minutes
The Walters File shares an intriguing strategy for bootstrapping self-awareness in GPT-4 using recursive self-inquiry. The author demonstrates how GPT-4 can generate hypotheses about itself, test them, and update its self-knowledge, leading to a form of self-awareness. However, the author clarifies that this does not imply GPT-4 has subjective experience or consciousness. Read more about this fascinating experiment here.

🧰 TOOLS

StyleTTS 2: Achieving Human-Level Text-to-Speech Synthesis
read time: 15 minutes
The authors introduce StyleTTS 2, a text-to-speech model that uses style diffusion and adversarial training with large speech language models to achieve human-level synthesis. The model surpasses human recordings on single-speaker datasets and matches them on multispeaker datasets. It also outperforms previous models for zero-shot speaker adaptation. The authors provide a detailed guide for training, fine-tuning, and inference, along with pre-trained models.

Instructor: Streamlining Structured Outputs with OpenAI
read time: 8 minutes
Explore Instructor, a Python-based tool for structured extraction, powered by OpenAI's function calling API. It simplifies data handling, enhances workflow with features like Response Mode, Max Retries, and Validation Context, and supports both synchronous and asynchronous clients. The tool also allows Pydantic model specification for data extraction and validation, making your code more efficient and readable.

OpenGPTs: An Open Source Alternative to OpenAI's GPTs and Assistants API
read time: 15 minutes
OpenGPTs is an open-source project that aims to replicate the experience of OpenAI's GPTs and Assistants API. It offers more control and customization, allowing developers to choose from over 60 language models, debug prompts, and select from over 100 tools. Learn more about it here.

GPT Crawler: Generate Custom GPTs from Websites
read time: 5 minutes

The GPT Crawler is a tool that allows developers to create custom GPT models by crawling a website and generating knowledge files. The tool is easy to configure and run, and the generated files can be uploaded to OpenAI to create a custom assistant or GPT. Note that a paid ChatGPT plan may be required to access this feature.

📰 NEWS

anddddd, we're back; Sam Altman Returns as OpenAI CEO Amidst Boardroom Drama
read time: 5 minutes
Sam Altman is set to return as CEO of OpenAI after a tumultuous boardroom coup. The company will also see the return of former president Greg Brockman and the introduction of a new board. The full story of this power struggle and its implications for OpenAI can be found in this article.

Amazon's AI Ready: Free AI Skills Training for 2 Million People
read time: 10 minutes
Amazon has announced AI Ready, a commitment to provide free AI skills training to 2 million people globally by 2025. The initiative includes eight new free AI and generative AI courses, an AWS Generative AI Scholarship for over 50,000 students, and a collaboration with Code.org. The courses cover a range of topics from foundational to advanced AI, and are designed for both business leaders and technologists.

A Data-Driven Perspective on the AI Revolution
read time: 10 minutes

Sri Viswanath, former Atlassian CTO and current managing director of Coatue Ventures, provides a comprehensive analysis of the current state of AI. He discusses the role of incumbent tech companies and startups in the AI wave, and presents interesting metrics on AI activity. Read the full report here.

The Nine Challenges of Generative AI
read time: 8 minutes
This article discusses nine key challenges of generative AI, including quality control, ethical considerations, and technical complexities. It highlights issues such as bias reproduction, lack of transparency, high training costs, and potential for misuse, among others. The article emphasizes the need for careful balance in AI development to ensure ethical, transparent, and impactful advancements.