Ben Chuanlong Du's Blog

It is never too late to learn.

Tips on Large Language Models

Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!

Name Category API Description
AI Playground - Collection of LLMs NA
therundown.ai Education & Resource A company that provides AI education and resources, including a popular daily newsletter and an AI University. They aim to help individuals and businesses understand and utilize AI in their work and daily lives.
consensus.app Research AI Search Engine for Research
AI2 ScholarQA Research
Emergent Mind Research AI Research Assistant for Computer Scientists
DeepWiki Coding NA
Google NotebookLM Knowledge Base NA
Tencent Yuanbao (in WeChat) Knowledge Base NA - can be added as a friend in WeChat
otter.ai Meeting An artificial intelligence (AI) meeting assistant that uses voice-to-text transcription to generate meeting notes, summaries, and transcripts. It can record and transcribe audio from various sources, including live conversations, recordings, and uploaded files, and offers features like speaker identification, inline image capture, and integration with popular platforms like Zoom and Google Meet.
Midjourney Photo
Google AI Studio General Available
ChatGPT General Available
happenstance.ai Social happenstance.ai is an AI-powered platform that helps users find people within their social networks. It uses AI to analyze your connected accounts (like LinkedIn, Gmail, and Twitter) and helps you discover hidden connections and individuals who match specific criteria. Essentially, it acts as a "ChatGPT for people," allowing you to search for individuals based on your network and desired qualifications.
Emergent Mind Research AI Research Assistant for Computer Scientists - [LLama - Local](https://github.com/jmorganca/ollama) - [ToolBench](https://github.com/OpenBMB/ToolBench) [ToolBench](https://github.com/OpenBMB/ToolBench) aims to construct open-source, large-scale, high-quality instruction tuning SFT data to facilitate the construction of powerful LLMs with general tool-use capability. We aim to empower open-source LLMs to master thousands of diverse real-world APIs. We achieve this by collecting a high-quality instruction-tuning dataset. It is constructed automatically using the latest ChatGPT (gpt-3.5-turbo-16k), which is upgraded with enhanced function call capabilities. We provide the dataset, the corresponding training and evaluation scripts, and a capable model ToolLLaMA fine-tuned on ToolBench. ## Tutorials - [Stanford CS25: V2 I Introduction to Transformers w/ Andrej Karpathy](https://www.youtube.com/watch?v=XfpMkf4rD6E) ## Papers - [Ai2 Scholar QA: Organized Literature Synthesis with Attribution](https://arxiv.org/abs/2504.10861) ## References - [LLM in Rust]( https://www.legendu.net/misc/blog/llm-in-rust ) - [deepwiki-open](https://github.com/AsyncFuncAI/deepwiki-open)

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