Rishabh Chandel

Engineering @ PagarBook | Ex - Zomato

[Rishabh Chandel @chandel_19]

@aakashratkal @pushkardhami @narendramodi CFBR

[Rishabh Chandel @chandel_19]

@Tanaka_Chidemo That would be a wrong take. You should use it for better productivity. But you should not rely on it to understand new concepts. That’s why it’s important for junior devs, since most concepts are new for them.

[Rishabh Chandel @chandel_19]

As a tip for junior developers, investing time in reading and editing code will prove to be more beneficial than solely relying on code completion tools like GitHub Copilot.

[Rishabh Chandel @chandel_19]

@Tanaka_Chidemo From the learning perspective, you can treat it like a senior dev but with a faster response time. It can help in debugging, refactoring code, and many other things.

[Rishabh Chandel @chandel_19]

@Tanaka_Chidemo IMO you can use these tools to best if you already know what you are looking for, since you can't rely on accuracy. It is a faster lookup of doc/syntax than Stackoverflow or Google search.

[Rishabh Chandel @chandel_19]

Useful tip: Give your engineers access to close competitor’s product. Let them explore and understand what they are building, beyond just PRD. It helps them to make informed technical decisions from day 1(saving lot of future tech debt & time) & envision the fully-fledged product

[Paul Graham @paulg]

AI is probably as big a deal as microprocessors or the web. But for the first few years only nerdy enthusiasts cared about those, whereas everyone is using AI.

[Rishabh Chandel @chandel_19]

An incredibly thorough and logical answer: https://t.co/Fvy4LoK2VG

[Rishabh Chandel @chandel_19]

Because of generative AI what is different now is that the transition has gone from something that may happen in the future, to something that is happening now—and it’s accelerating.

[Rishabh Chandel @chandel_19]

Some more cool info about vector databases by @NirantK
https://t.co/xx8VLbZK1b

[Nirant @NirantK]

1/ As vector databases continue raising funds, let's reevaluate the landscape.

Scale is important, but FAISS did billion-vectors in 2017.

What do we use them for? Private Search Engines
They have vast applications across text, images and audio.

[Rishabh Chandel @chandel_19]

LLMs like GPT-4 face two major problems: memory and hallucination. LLMs have finite memory to store context and thus may produce irrelevant responses. Hallucination refers to generating nonsensical or harmful responses.

[Rishabh Chandel @chandel_19]

Vector databases can play a crucial role in enabling organizations to build and deploy LLMs that are more accurate, reliable, and useful. #LLMs #GPT4 #vectordatabase #AI #NLP #memoryproblem #hallucinationproblem #accuracy #reliability #usefulness

[Rishabh Chandel @chandel_19]

@tejeshwi_sharma https://t.co/Wt51WaUxp7
We are building AI copilot for data analyst✌️

[Rishabh Chandel @chandel_19]

@Tanmaaaay Your contribution was valuable 🫡

[Rishabh Chandel @chandel_19]

We are already in top 10 in product hunt. Please vote ProbeAI to take it top 🙏

[sahu @cybersahu]

If you believe in the power of AI to revolutionize data analysis, support us on @ProductHunt and help us spread the word! 😻

Vote for ProbeAI: https://t.co/vEIajLmsbz

[Rishabh Chandel @chandel_19]

We believe that this technology has the potential to revolutionize the way we approach data analysis and decision-making in various industries, and we are excited to be at the forefront of this innovation.

[sahu @cybersahu]

🚀 Introducing, the world's first AI Copilot for Data Analysts, @Probe_AI

Today, Generative AI comes to Data Analysis in a big way.

Say goodbye to spending hours building complex data dashboards.

Early access: https://t.co/i8Ya3uD83d

[Rishabh Chandel @chandel_19]

The cruel irony is that many were Linux users who hated Microsoft, but little did they know they were working for Microsoft for free the whole time🙃

[Rishabh Chandel @chandel_19]

Respect to all the real programmers of the last 30 years who wrote billions of lines of code to make GitHub Copilot X possible.