OpenAI's ChatGPT has created considerable attention in the consumer AI application space. While some equate the hype surrounding AI to that of blockchain, I disagree. In my view, AI holds true economic value, unlike blockchain.
There are numerous concepts I aspire to bring to life using AI. However, first, I need to gain a thorough understanding of these three key areas:
1. Grasping the concept of Large Language Models (LLM), even though it's essentially a field dominated by big players like OpenAI, Google, and Facebook.
2. Learning how to train a domain-specific AI model.
3. Knowing how to develop a consumer AI application.
Additionally, I need to explore Langchain to comprehend how it can be integrated into consumer AI applications.
Langchain resources:
- [Awesome Langchain](https://github.com/kyrolabs/awesome-langchain)
- [Original Langchain Framework](https://github.com/hwchase17/langchain)
- [Langchain Introduction](https://python.langchain.com/docs/get_started/introduction.html)
Here are a few projects that I'm interested in developing with AI:
1. Construct an iMessage instance that allows me to text multiple individuals simultaneously.
2. Utilize AI to expedite the creation of a personal budgeting app.
I also aim to dedicate time to expanding my understanding of the AI landscape.
Key resources include:
- [Prompt Engineering for Developers](https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/)
- [A16Z AI Canon](https://a16z.com/2023/05/25/ai-canon/)
-
- [ChatGPT Tutorial Over Your Data](https://blog.langchain.dev/tutorial-chatgpt-over-your-data/)
- [ChatGPT Best Practices](https://platform.openai.com/docs/guides/gpt-best-practices)
- )
There are numerous concepts I aspire to bring to life using AI. However, first, I need to gain a thorough understanding of these three key areas:
1. Grasping the concept of Large Language Models (LLM), even though it's essentially a field dominated by big players like OpenAI, Google, and Facebook.
2. Learning how to train a domain-specific AI model.
3. Knowing how to develop a consumer AI application.
Additionally, I need to explore Langchain to comprehend how it can be integrated into consumer AI applications.
Langchain resources:
- [Awesome Langchain](https://github.com/kyrolabs/awesome-langchain)
- [Original Langchain Framework](https://github.com/hwchase17/langchain)
- [Langchain Introduction](https://python.langchain.com/docs/get_started/introduction.html)
Here are a few projects that I'm interested in developing with AI:
1. Construct an iMessage instance that allows me to text multiple individuals simultaneously.
2. Utilize AI to expedite the creation of a personal budgeting app.
I also aim to dedicate time to expanding my understanding of the AI landscape.
Key resources include:
- [Prompt Engineering for Developers](https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/)
- [A16Z AI Canon](https://a16z.com/2023/05/25/ai-canon/)
-
- [ChatGPT Tutorial Over Your Data](https://blog.langchain.dev/tutorial-chatgpt-over-your-data/)
- [ChatGPT Best Practices](https://platform.openai.com/docs/guides/gpt-best-practices)
- )