General

Definitions

Expert Systems/Rules Engines

Fuzzy Logic

Natural Language Processing

Large Language Models (LLMs)

• Getting Started with LangChain: A Beginner’s Guide to Building LLM-Powered Applications
• Guidance: "Guidance is an efficient programming paradigm for steering language models. With Guidance, you can control how output is structured and get high-quality output for your use case—while reducing latency and cost vs. conventional prompting or fine-tuning. It allows users to constrain generation (e.g. with regex and CFGs) as well as to interleave control (conditionals, loops, tool use) and generation seamlessly."
• How to run a local LLM via LocalAI, an Open Source project
• Python Langchain: LangChain is a framework for developing applications powered by language models. It enables applications that:
  • Are context-aware: connect a language model to sources of context (prompt instructions, few shot examples, content to ground its response in, etc.)
  • Reason: rely on a language model to reason (about how to answer based on provided context, what actions to take, etc.)

• "Understanding the Dark Side of Large Language Models: A Comprehensive Guide to Security Threats and Vulnerabilities"

• "Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities"

• "Researchers from Virginia Tech and Microsoft Introduce Algorithm of Thoughts: An AI Approach That Enhances Exploration of Ideas And Power of Reasoning In Large Language Models (LLMs)"

• "How to Build a Large Language Model from Scratch Using Python"

• "How to build knowledge graphs using LLMs"

Small Language Models (SLMs)

Coding Assistants

• Create a Coding Assistant with StarCoder

Generative AI

• "Godot isn't making it": "What if what we're seeing today isn't a glimpse of the future, but the new terms of the present? What if artificial intelligence isn't actually capable of doing much more than what we're seeing today, and what if there's no clear timeline when it'll be able to do more? What if this entire hype cycle has been built, goosed by a compliant media ready and willing to take career-embellishers at their word? (March 2024) The reason I'm repeating myself is that it's important to note how obvious the problems with generative AI have been, and for how long."
• Generative AI exists because of the transformer
• "Stable Diffusion in Java (SD4J) Enables Generating Images with Deep Learning"
• Stable Diffusion in C# (mentioned in the SD4J article)

Machine Learning

• 10 Github Repositories to Master Reinforcement Learning
• Machine Learning for Software Engineering: A curated list of papers, theses, datasets, and tools related to the application of Machine Learning for Software Engineering.
• Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations

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Detail Pages:

• Arcee Own your own small language models.
• Fuzzy logic Readings and links on fuzzy logic.
• Goblin.tools A collection of small, simple, single-task tools, mostly designed to help neurodivergent people with tasks they find overwhelming or difficult.
• gptlang A new programming language implemented by GPT-4.
• Husky Research language aimed at next generation AI and software.
• Jlama A modern Java inference engine for LLMs.
• LMQL A programming language for LLMs; Robust and modular LLM prompting using types, templates, constraints and an optimizing runtime.
• Paradigms of Artificial Intelligence Programming Norvig's classic, on the Web.
• Priml A new programming language aimed at facilitating systems and AI infrastructure development.
• Reading in Artificial Intelligence A collection of language-agnostic links on AI and Machine Learning.
• Structured and Unstructured Query Language (SUQL) Conversational Search over Structured and Unstructured Data with LLMs
• TabbyML Opensource, self-hosted AI coding assistant.

Last modified 22 January 2025

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