Here you will find tutorials on using LLMs in the scientific research workflows.
| Title | Type of Resource | Link to Resource | Date Recorded | Open Science | Use of LLM | Research Discipline(s) | Description of Resource |
|---|---|---|---|---|---|---|---|
| Techniques for supercharging academic writing with generative AI | Documentation, Discussion Article, Use Case Example, Reporting Guidelines, Tutorial w/ Code, Tutorial w/o Code, Application/Tool | AI-based writing | November 10, 2024 | Preprint | Describing Results, Science Communication | Any Discipline | Generalist large language models can elevate the quality and efficiency of academic writing. |
| LlamaIndex | Documentation, Tutorial w/ Code | LlamaIndex Tutorials | September 23, 2024 | Open Source, Open Code | Other | Other | LlamaIndex is the framework for Context-Augmented LLM Applications |
| OLLAMA Tutorials | Tutorial w/ Code | OLLAMA tutorials | September 23, 2024 | Open Source, Open Code | Other | Other | Here is a list of ways you can use Ollama with other tools to build interesting applications. Using LangChain with Ollama in JavaScript Using LangChain with Ollama in Python Running Ollama on NVIDIA Jetson Devices Also be sure to check out the examples directory for more ways to use Ollama. |
| The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery [Github Repo] | Research Article, Use Case Example, Tutorial w/ Code, Application/Tool | AI Scientists | August 15, 2024 | Open Source | Data Generation, Data Analysis, Science Communication | Computer Science | One of the grand challenges of artificial intelligence is developing agents capable of conducting scientific research and discovering new knowledge. While frontier models have already been used to aid human scientists, e.g. for brainstorming ideas or writing code, they still require extensive manual supervision or are heavily constrained to a specific task. We're excited to introduce The AI Scientist, the first comprehensive system for fully automatic scientific discovery, enabling Foundation Models such as Large Language Models (LLMs) to perform research independently. |
| OpenAI Cookbook | Documentation, Tutorial w/ Code | Cookbook | April 12, 2023 | Open Source, Open Code | The OpenAI Cookbook shares example code for accomplishing common tasks with the OpenAI API. To run these examples, you'll need an OpenAI account and associated API key (create a free account). Most code examples are written in Python, though the concepts can be applied in any language. | ||
| LangChain Cookbook | Tutorial w/ Code | Cookbook | April 11, 2023 | Open Source | Goal: Provide an introductory understanding of the components and use cases of LangChain via ELI5 examples and code snippets. |