Awesome List Updates on Jun 14, 2024

7 awesome lists updated today.

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1. Awesome Blazor

Videos / Others

• Blazor and Orchard Core with Peter Matthews - Orchard Core Pair Programming by Lombiq - June 17, 2024 - Join this session of Orchard Core Pair Programming by Lombiq! In these, we do an hour of pair programming with an Orchard Core community member about a project of theirs. We learn together a lot, share best practices, and write some good code. All this is live, and you can join us with your questions!

• Building Real-Time Web Applications with Blazor and Akka.NET - June 13, 2024 - This talk presents how you can use Akka.NET and Blazor to build scalable, streaming web applications without JavaScript or any fuss. Pure C# end to end.

• ASP.NET Community Standup: Static web asset improvements in .NET 9 - June 11, 2024 - Learn about some of the static web asset improvements coming in .NET 9.

Articles / Others

• Blazor Basics: Blazor Render Modes in .NET 8 - June 12, 2024 - This article is about the new Blazor render modes in .NET 8, including ServerInteractivity, WebAssemblyInteractivity, AutoInteractivity and static server-side rendering (SSR).

• The usage of Blazor.Diagrams - June 11, 2024 - How to use Blazor.Diagrams.

2. Awesome Angular

Blogs / Google Developer Experts

• Tomasz Ducin

Books / Google Developer Experts

• Angular for Enterprise Applications - Packt Publishing

Node / Google Developer Experts

• create-tauri-app (⭐973) - Rapidly scaffold out a new Tauri app project.

Markdown / Google Developer Experts

• ngx-remark (⭐6) - Render markdown with custom Angular templates.

3. Awesome Azure Openai Llm

Vector Database Comparison

• pgvector (⭐11k): Open-source vector similarity search for Postgres [Apr 2021] / pgvectorscale (⭐808): 75% cheaper than pinecone [Jul 2023]

DSPy / DSPy optimizer

• Automatic Few-Shot Learning

  • As a rule of thumb, if you don't know where to start, use BootstrapFewShotWithRandomSearch.

  • If you have very little data, e.g. 10 examples of your task, use BootstrapFewShot.

  • If you have slightly more data, e.g. 50 examples of your task, use BootstrapFewShotWithRandomSearch.

  • If you have more data than that, e.g. 300 examples or more, use BayesianSignatureOptimizer.

• Automatic Instruction Optimization

  • COPRO: Repeat for a set number of iterations, tracking the best-performing instructions.

  • MIPRO: Repeat for a set number of iterations, tracking the best-performing combinations (instructions and examples).

• Automatic Finetuning

  • If you have been able to use one of these with a large LM (e.g., 7B parameters or above) and need a very efficient program, compile that down to a small LM with BootstrapFinetune.

Prompt Guide & Leaked prompts / Prompt Template Language

• In-The-Wild Jailbreak Prompts on LLMs (⭐1.8k): A dataset consists of 15,140 ChatGPT prompts from Reddit, Discord, websites, and open-source datasets (including 1,405 jailbreak prompts). Collected from December 2022 to December 2023 [Aug 2023]

Finetuning / PEFT: Parameter-Efficient Fine-Tuning (Youtube) [24 Apr 2023]

• LoRA learns less and forgets less: Compared to full training, LoRA has less learning but better retention of original knowledge. [15 May 2024]

Other techniques and LLM patterns / Llama Finetuning

• What We’ve Learned From A Year of Building with LLMs: A practical guide to building successful LLM products, covering the tactical, operational, and strategic. [8 June 2024]

• Mamba: Linear-Time Sequence Modeling with Selective State Spaces [1 Dec 2023] git (⭐12k): 1. Structured State Space (S4) - Class of sequence models, encompassing traits from RNNs, CNNs, and classical state space models. 2. Hardware-aware (Optimized for GPU) 3. Integrating selective SSMs and eliminating attention and MLP blocks ref / A Visual Guide to Mamba and State Space Models ref [19 FEB 2024]
  • Mamba-2: 2-8X faster [31 May 2024]

Trustworthy, Safe and Secure LLM / GPT series release date

• Extracting Concepts from GPT-4: Sparse Autoencoders identify key features, enhancing the interpretability of language models like GPT-4. They extract 16 million interpretable features using GPT-4's outputs as input for training. [6 Jun 2024]

MLLM (multimodal large language model) / GPT series release date

• MiniCPM-V (⭐11k): MiniCPM-Llama3-V 2.5: A GPT-4V Level Multimodal LLM on Your Phone [Jan 2024]

Section 9: Applications and Frameworks / Korean

• Awesome LLM Apps (⭐2.9k): A curated collection of awesome LLM apps built with RAG and AI agents. [Apr 2024]

LLMOps: Large Language Model Operations / Math

• Ragas (⭐6.2k): Evaluation framework for your Retrieval Augmented Generation (RAG) [May 2023]

• DeepEval (⭐2.7k): LLM evaluation framework. similar to Pytest but specialized for unit testing LLM outputs. [Aug 2023]

4. Awesome Ironsworn

Resources / Ironsworn

• Starforged Moves Starter - Cheatsheet of the most important moves in Starforged, aimed especially at new players

• Starswoosh - Starforged quick reference for e-readers

5. Awesome Inertiajs

Adapters / Server-side

• 💜 Django (⭐248)

• 💜 Phoenix (⭐68)

• Phoenix (⭐85)

6. Awesome Vue

Components & Libraries / UI Components

• vue-wheel-spinner (⭐4) - A simple, customizable wheel of fortune component. See Demo

7. Awesome Neovim

Utility / Diagnostics

• ChuufMaster/buffer-vacuum (⭐10) - Set a maximum number of buffers to keep open and intelligently delete the oldest buffers over the maximum.

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