Akhil E

Prompt Engineering and LLM concepts like Function Calling, RAG. Basically how to provide data to the LLM and help it analyze it for you

Meta AI

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Great Sales Assistant that looks like it'll help you reduce your workload and improve your efficiency.

Looks very interesting. Makes Content creation much easier.

Very interesting, RAG improves the performance of generative AI and this makes it very easy to integrate RAG with LLM models. Does Ragie handle data tables like let's say sales data or financial data which will be stored as csv files or in SQL databases?

Such an easy way to track what you eat and drink everyday. Super impressive and a great concept

The key considerations would be - Speed i.e. how fast the AI can analyze the data. - Accuracy of the analysis - Data size i.e. how much data can the AI analyze in one shot.

Healthcare is one of many industries that can benefit from AI applications. For example, AI algorithms can analyze medical images to detect early signs of diseases like cancer, often with great accuracy.

One of the Gaps with Generative AI products is the reliability of the information Gen AI provides. There is still the problem of hallucination of LLM models.

Google isn't dying but there seems to be a shift from Google to other options. An example is the common phrase "Google It" which is being used less and people are shifting towards Chat GPT for finding answers. Google is also rushing its launches, Gemini and AI Overview were launched recently and both had problems and Open AI's launch of the 4o Model had such advanced features. The...