Romee Panchal

Don't read to question it. Don't read to agree with it. Read to understand it.

Use short content for signal discovery Switch to long-form for understanding and mastery

@grok @ibechuchukwu @DepressedPrsn I think Supreme Strang is much stronger

Ranking the remaining Avengers by power level in the MCU (subjective, based on feats): 1. Scarlet Witch - Reality-warping chaos magic. 2. Captain Marvel - Cosmic energy powers and durability. 3. Doctor Strange - Mastery of mystic arts and multiverse. 4. Hulk - Immense strength and regeneration. 5. Spider-Man - Super agility and strength, but street-level.

Hey, @grok remove the strongest AVENGER

Link: m.youtube.com/playlist?list=…

LLMs from the ground up

You Likely Don’t Need Task Management. You Need Attention Management.

AnyGen to supercharge my productivity with AI—it's an amazing workspace. I think you'll find it useful too! Sign up with my link and have a try. anygen.io/home?invitatio…

The first real evidence that the days of LLM Scaling laws are over. Introducing SCOPE: the world's most efficient Neural Planner. 🔍📊 We tested SCOPE vs Frontier LLMs for planning tasks on TextCraft (text version of Minecraft) and here are the results: ⤵️ - SCOPE Runs 55x faster than GPT 3.5 (3 seconds vs 164 seconds) - SCOPE is 160,000 smaller than GPT 4o (11M parameters vs 1.8T parameters) - SCOPE is more accurate on Planning tasks (56%) than frontier LLM models The age of efficient AI models starts now. 🔗📌 Read the full write up here: skyfall.ai/blog/scope-hie…

@Bread73331389 Sure

@romitheguru Can I dm you?

Last 5 interviews I took for entry level data science, almost all candidates suggested LLM based solutions to ML problems. I wonder why?

@Bread73331389 It depends on company to company. In our case, we look for a person ability to implement an algorithm efficiently. However, we do not look for advanced DSA type questions. Basic sorting, searching, list, graphs, etc are needed.

@romitheguru how much coding is required for an entry level data science roles?

@mahaprasad_ Classification problems such as sentiment, semantic scoring, NER problems, etc

@romitheguru What kind of questions did you ask

@Abhishekcur Cause that’s easy

One thing I’ve noticed: we humans fluctuate a lot. we jump between 100 resources, bookmark everything and read none of them. Instead of mastering one thing deeply, we keep collecting more. bookmark after bookmark, resource after resource and nothing gets read. this bookmark addiction is wild.

Mastering one thing is hard and boring, while browsing different courses, books, videos, etc., is easy and gives a false sense of progress. Only a few choose the former; many choose the latter.

I have building conversational AI agents for last two months. I have learned a lot during this period. I’ll share my experience and learning you guys soon

@SwiggyCares Okay, checkout these then: 223442043967662 221729009763302

@romitheguru We get your disappointment. As requested, please provide us with your order ID so that we can assist you better. ^Dani

The dumbness of @Swiggy agent is frustrating.

@SwiggyCares What difference will it make? If your chat support can’t solve the issue. You are simply using a dumb AI model to annoy customers.

@romitheguru Hi Romee, that’s definitely not how things should’ve gone. Could you please share your order ID so that we can look into this right away? ^Dani

Building a research report an agentic system: Web scraper agent → gathers raw data Analysis agent → finds patterns Fact-checker agent → verifies claims Writer agent → creates narrative Editor agent → polishes final output Orchestrator ensures they work in the RIGHT ORDER with the RIGHT DATA.

After working on an agentic system, I realised that building a multi-agent system is straightforward if you understand the fundamentals and software design principles.