100 Days of AI Day 10: How to use AI to do Design thinking using GPT4 & Semantic Kernel
How to use LLMs to do Design thinking using GPT4 & Semantic Kernel and solve your business problems? Read this article to find out.
100 Days of AI
Learn, design & experiment with generative AI.
AI was already everywhere but with chat-gpt’s explosion, it captured everyone’s attention. Even though it might seem like there is an AI hype cycle, unlike other tech bubbles AI is here to stay. And whether you are developer, product manager, marketer or any other knowledge worker, you are better off, if you invest time in learning AI and think about how you can leverage it for you career. I have previously learnt machine learning, my focus in this exercise would be to educate about LLMs (open source, closed source), what new products or features can be built, what it takes to build them, what new workloads would cloud technologies need to support as LLMs become mainstream. Below I will document all the ideas, learnings, experiments, how-to guides that I encounter during these 100 days.
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100 Days of AI Day 9: How to create SWOT analysis for your business idea using AI?
How to create SWOT analysis for your business idea using AI?
Day 8: How to Build on Gpt-4 Using MSFT’s Semantic Kernel
About 100 Days of AI: AI, with the rise of chat-GPT, captured attention of everyone. Unlike other tech bubbles, AI wave will be enduring. Whether you’re a developer, product manager, marketer, or in any knowledge role, investing time in learning AI will be worth your time for your career. 100 days of AI is my… Read…
Day 7: How to Build Chat-GPT for your Data using Langchain?
In this example, I will use Langchain (which raised $10M at a $100M valuation) to access open AI's API.
Day 6: What are different retrieval techniques & why they are useful?
I write a newsletter called Above Average where I talk about the second order insights behind everything that is happening in big tech. If you are in tech and don’t want to be average, subscribe to it. What is Retrieval in the context of building RAGs? In RAG (Retrieval Augmented Generation) applications, retrieval refers to… Read…
Day 5: How to get Insights from YouTube Podcast Video using Open AI & Save Time?
A lot of people want podcasts transcribed and read instead of listen to them. We can go one level up and even extract insights from the podcasts as well using Open AI API.
Day 4: How to Use ChatGPT to be More Productive?
Using Transforming, Expanding and Temperature Manipulation to be more productive at your work.
Day 3: How to Use Inferring to Create new AI Features?
I write a newsletter called Above Average where I talk about the second order insights behind everything that is happening the big tech. If you are into tech and don’t want to be average, subscribe to it. Inferring is essentially to extract insights, sentiments, trends using clever prompts while interacting with LLMs. Previously before LLMs… Read…
Day 2: How to Write Better Prompts for ChatGPT?
I write a newsletter called Above Average where I talk about the second order insights behind everything that is happening the big tech. If you are into tech and want to be above average, subscribe to it. I don’t know if prompt engineer will actually become a role in companies in the future. But writing… Read…
Day 1: How to Convert Your Newsletter into a Podcast using Open AI?
If you don’t know, I write a newsletter called Above Average where I talk about the second order insights behind everything that is happening the big tech. If you are into tech and want to be above average, subscribe to it. I have always admired Scott Galloways newsletter No Mercy, No Malice. One unique thing… Read…