NIKHIL JOHN

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NIKHIL JOHN

NIKHIL JOHN

@gasolinejohn

Petrol head, music buff and marketing guy.

Bengaluru, India Katılım Ocak 2015
254 Takip Edilen66 Takipçiler
NIKHIL JOHN
NIKHIL JOHN@gasolinejohn·
@airtelindia looks like your support team is on vacation. Reaching out here because clearly my issue has been escalated to the point there’s no one senior enough to attend to it. After a week of hearing the same thing I get a ticket stating you’ll probably look into it in April?
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Dilip Thomas Ittyera
Dilip Thomas Ittyera@dilipti·
It’s going to be pretty much like any automated manufacturing line with robots and human supervision And I guess most of the supervision will be remote and abstract, enabling citizen creators
Andrej Karpathy@karpathy

# automating software engineering In my mind, automating software engineering will look similar to automating driving. E.g. in self-driving the progression of increasing autonomy and higher abstraction looks something like: 1. first the human performs all driving actions manually 2. then the AI helps keep the lane 3. then it slows for the car ahead 4. then it also does lane changes and takes forks 5. then it also stops at signs/lights and takes turns 6. eventually you take a feature complete solution and grind on the quality until you achieve full self-driving. There is a progression of the AI doing more and the human doing less, but still providing oversight. In Software engineering, the progression is shaping up similar: 1. first the human writes the code manually 2. then GitHub Copilot autocompletes a few lines 3. then ChatGPT writes chunks of code 4. then you move to larger and larger code diffs (e.g. Cursor copilot++ style, nice demo here youtube.com/watch?v=Smklr4…) 5.... Devin is an impressive demo of what perhaps follows next: coordinating a number of tools that a developer needs to string together to write code: a Terminal, a Browser, a Code editor, etc., and human oversight that moves to increasingly higher level of abstraction. There is a lot of work not just on the AI part but also the UI/UX part. How does a human provide oversight? What are they looking at? How do they nudge the AI down a different path? How do they debug what went wrong? It is very likely that we will have to change up the code editor, substantially. In any case, software engineering is on track to change substantially. And it will look a lot more like supervising the automation, while pitching in high-level commands, ideas or progression strategies, in English. Good luck to the team!

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NIKHIL JOHN
NIKHIL JOHN@gasolinejohn·
Great quote @dheeraj , everyone wants to work on AI when there’s so much UI work yet to be done for AI. Good thing we’ve got @CogniSwitch that’s handling the AI bit of it, allowing companies to focus on the peripherals! Building the product!
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Murtaza Kachwala
Murtaza Kachwala@Murtazamkachwal·
Hey @FanCode no commentary for qualifications? What's the issue guys?
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CogniSwitch.ai
CogniSwitch.ai@CogniSwitch·
Unify your knowledge that is scattered across systems and documents and fill in knowledge gaps and validate information using an Expert in the loop. Experience fast, reliable and accurate GenAI with CogniSwitch: buff.ly/3Rmc12q #GenAI #GenAIforBusiness
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CogniSwitch.ai
CogniSwitch.ai@CogniSwitch·
Teams that use GenAI for work could outperform teams that don't! With CogniSwitch, you can give your teams the upper hand with the ability to interact with their knowledge right where they work. Learn how your teams can leverage GenAI to their advantage: buff.ly/3Rmc12q
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Elon Musk
Elon Musk@elonmusk·
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CogniSwitch.ai
CogniSwitch.ai@CogniSwitch·
With applications for multiple teams acorss your buiness, CogniSwitch not only simplifies the use of #GenAI but also brings this functinality to your teams within the tools they use for work. Find out how your teams can leverage GenAI through CogniSwitch bit.ly/3R6WT9c
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CogniSwitch.ai
CogniSwitch.ai@CogniSwitch·
Ingest knowledge from docs, tools and conversations Curate your very own knowledge repository & Provision contextual responses where you need them. For enhanced GenAI capabilities use CogniSwitch! For Businesses: bit.ly/3R6WT9c For Developers: bit.ly/3sTDGji
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CogniSwitch.ai
CogniSwitch.ai@CogniSwitch·
Streamline your GenAI initiatives with CogniSwitch! Build applications or enrich existing ones using our platform. CogniSwitch ensures rapid deployment, lowers costs and enhanced reliability when it comes to GenAI. Get started here: bit.ly/3R6WT9c
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Dilip Thomas Ittyera
Dilip Thomas Ittyera@dilipti·
Chain of Knowledge Prompting as shared by cobusgreyling.substack.com/p/chain-of-kno… talks about using evidence of triples or facts. Here's what the @llama_index shared about an approach similar to this twitter.com/llama_index/st… @CogniSwitch @mtrajan @upekkhaBe
LlamaIndex 🦙@llama_index

LlamaIndex <> @CogniSwitch 🧠 Building advanced RAG is complicated in terms of both ingestion and retrieval. CogniSwitch abstracts this with a fusion RAG approach combining vectors/KGs/rules! You can now use in @llama_index either on its own (query engine) OR as a tool in an agent. Query engine: docs.llamaindex.ai/en/stable/exam… Tool: github.com/run-llama/llam… Developer page: cogniswitch.ai/developer?utm_…

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