We are officially at the end of 2023. This year started well with OpenAI ChatGPT and ending high on Everything GenAI (Generative AI).

Now GenAI, can help you with almost all of your day to day tasks.

• For Sales and Marketing people - It can help you generate professional quality content
• For Designers - It can help you generate creative images, audios and videos
• For Students - It can help you study (as long as you are referring slightly dated content)
• For Software Engineers - It can help you generate code or write whole application
• Or if you are just looking for random ideas on what to do - It can help you with bunch of ideas

For me, it's mostly professional content and software engineering side. Using GPT for almost a year now, I can safely say that it can generate pretty high quality of content provided that you give good context and do the proofreading and cleanup on the generated output. For software engineering side, it can generate good piece of code snippets or full-code if you share better instructions or prompts.

Learning

https://www.deeplearning.ai/short-courses/

There are tons of short courses on everything related to GenAI, LLM, GPT and other frameworks. Please select the one based on your working interest, I found courses on Prompt Engineering and LangChain pretty amazing.

Cloud Computing

I recently attended the AWS re:Invent 2023, packed with a lot of new announcements. It's very difficult to attend lot of sessions physically, primarily due to timing, location of the session and how fast you can reserve. But it's always great to watch them in your quite time with a hot coffee or tea.

Here is a list of sessions you can glace through:

• AWS re:Invent 2023 - Keynote with Dr. Werner Vogels
• AWS re:Invent 2023 - Serverless Compute
• AWS re:Invent 2023 - Developer Productivity & DevOps
• AWS re:Invent 2023 - Databases

Frameworks & Tools

Netlify | The State of Web Development | 2023

JavaScript is here to stay and grow further, ofcourse with the mix of AI/ML.

Viable uses NextJS and NodeJS for AI Applications

Viable is a customer analysis startup, combines AI with JavaScript on the frontend. The CEO explains why he used Next.js and Node.js. It was among the first companies to leverage OpenAI‘s GPT API. It all makes sense, as the GPT can make a lot of sense from piles of human written data.

Early this year, at APPGAMBiT, we built a small prototype of using normal English sentenses to create SQL Queries with OpenAI APIs. Generated queries would run against the customer database and prepare adhoc reports. It was fascinating to see, given clear and better information, it was generating accurate SQLs with very limited effort.