Ajay Patel

Here to learn and share about Data !!

[BURKOV @burkov]

If you lead a team of students or junior scientists, and they regularly read scientific papers and use chatbots to ask questions about unclear or complex parts, DM me. I would like to offer your students a month-long subscription to @ChapterPal for free in exchange for feedback and feature requests.

[Ajay Patel @bond_aj]

@emirates i am trying to connect to your support and travel agent from last 2 days. I have spent more than 20+ hrs on call for someone to help me with flight reschedule. The chat is also disabled

[Nozz @NoahEpstein_]

the intelligence gap in AI automation just hit $4 trillion

businesses think they need:
- PhD's in machine learning
- 6-month implementation roadmaps
- enterprise consulting firms
- $200K budgets

what they actually need:
- someone who can describe the problem clearly
- AI to build the workflow
- 2 hours to test it
- $5K to make it worth your time

the gap between perception and reality is the entire opportunity

McKinsey charges $4M for 20 weeks of "AI strategy"
you can build the actual solution in 2 days for $10K

courses sell you on becoming an "expert"
clients pay you for solving their problem

corporate thinks AI requires transformation
you know it just requires connection

that's the game:
they're lost in complexity
you understand it's mostly simple

the companies still hiring "AI transformation consultants" for $300K projects don't know you can ship the same outcome in a week

and the solo operators charging $10-20K per automation build?

they figured this out 6 months ago

comment "GAP" and i'll break down the 3 industries where this gap is widest right now

[BURKOV @burkov]

As many of you know, for the last five months I've been working full-time on my next big thing. The challenge was to invent something new and implement it entirely using LLMs for writing code.

The first stage of the project is now complete: the web application, which I called https://t.co/xdrY0TMtmT, is now online and accepting users. You can see a short demo in the video.

100% of the code of the app was generated by LLMs (mostly Gemini and Claude, maybe 10% of ChatGPT). I haven't written a single line of code. The tech stack is TypeScript, React, and Supabase/Postgres which was (and still is) fully new to me.

During these five months, I implemented from scratch three versions of the software. It started as a Markdown editor to help me with my book writing and ended up as an AI-assisted reading and self-learning platform.

What makes ChapterPal unique is a novel reading experience where the user can use the keyboard keys to reveal or "unreveal" the content and ask questions at any moment. (Mouse wheel, touchpad, smartphone screen, and voice input are also supported.) The LLM receives the entire content of the chapter and tries to answer questions based on the chapter's content, which reduces the chance of hallucination to the minimum. (Though not to 0%, of course, but near it.)

This way of content consumption is known as **active reading,** a strategy for engaging with a text to improve comprehension and retention by consciously interacting with the material. The goal is to move beyond passive reading to a deeper understanding of the text and to remember key information more effectively.

The registration on ChapterPal is via the waiting list. This is to avoid unexpected load spikes and cloud charges. Usually, it takes less than 24 hours for me to activate a user. Give it a try and let me know what you think.

The next stage is finishing the content ingestion pipeline, which will automatically convert high-quality content from sources like HTML, PDF, and LaTeX into Markdown. Obviously, only those pieces whose licenses allow creating copies.

ChapterPal has its own collection of textbooks and articles on AI, machine learning, and data science topics. If you don't find a piece of content you would like to read in ChapterPal's collection, a Chrome extension, ChapterPal Uploader, allows you to upload any PDF or HTML page to ChapterPal in one click. The content is only available for you to read to avoid the possibility of copyright infringement.

I hope you enjoy using it as much as I enjoy building it.

[Ajay Patel @bond_aj]

@burkov There has be a some balance For Marketing- not like crazy though

[Ajay Patel @bond_aj]

How large the data prediction looks like?

https://t.co/T0dslNx3jD

[Ajay Patel @bond_aj]

@elonmusk @elonmusk Do you think one day movies can be made through AI?

[Shubham Saboo @Saboo_Shubham_]

Microsoft just released a multi-agent simulation framework.

Now you can get instant feedback from 100 different AI personalities instead of spending weeks on user research.

100% opensource.

[Ajay Patel @bond_aj]

How large the data prediction looks like?

https://t.co/T0dslNx3jD

[Ajay Patel @bond_aj]

@bindureddy Is it a plug and play model for customization? Conceptually it seems pretty intutiive and simple for sure.

[Ajay Patel @bond_aj]

Starting from "No Guarantee" --> "No access"
Read more details on my latest blog
https://t.co/PoOW9c5zmL

[Ajay Patel @bond_aj]

What's level of Privacy you and your customers can afford in the AI/ML world ?

[DeepLearning.AI @DeepLearningAI]

"I understood that reference!" - Steven G. Rogers

Created by: Machine Learning Memes for Convolutional Teens

[Ajay Patel @bond_aj]

@nurijanian Definitely gives constructive feedback and help build perspective by asking the right question. They are super hard to find 😅

[Ajay Patel @bond_aj]

News for all the #PostgreSQL users

[Rishabh Srivastava @rishdotblog]

We just opened sourced SQLCoder-70B! It outperforms all publicly accessible LLMs for Postgres text-to-SQL generation by a very wide margin.

SQLCoder is finetuned on @AIatMeta's CodeLlama-70B model that was released yesterday on less than 20,000 hand-curated prompt completion pairs.

You can find it on @huggingface at https://t.co/abHsKzWYGW. This follows our 15B, 7B, and 34B models – and is the most capable of them all.

The model has a cc-by-sa-4 license, which means that you are free to use it as is for any use (including commercial) as long as you also open-source any changes to you make to it (i.e., if you fine-tune it further).

[Ajay Patel @bond_aj]

4) upsell- Applecare plus.
5) Cross-sell - Apple finance (EMI option)

Now the question is, would you buy this?

#apple #VisionPro

[Ajay Patel @bond_aj]

Apple’s vision pro launched for $3500. 😱😱

Today, Apple began accepting pre-orders for their latest product, the Apple Vision Pro. 🚀🚀

Apple is renowned for providing incredible user experiences across all their products, and with this launch, they went a step ahead.

[Ajay Patel @bond_aj]

Here’s how

1) facial scan to get custom fit.
2) 3 choices to select different options.
3) learning user if they wear glasses and giving option to purchase Carl zies lense kit.