CellStrat

6.3K posts

CellStrat

CellStrat

@CellStrat

CellStrat is an AI Product and R&D firm serving global AI customers via an innovative AI SAAS platform!

India Entrou em Mayıs 2008
367 Seguindo438 Seguidores
CellStrat
CellStrat@CellStrat·
@kmr_dilip Hi Dilip - we resonate with this thought. That is why we are building CellVerse AI - cellverse.ai. A complete ecosystem for Healthcare AI. Like to connect with you. Possible ?
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Dilip Kumar
Dilip Kumar@kmr_dilip·
Got a message yesterday from a friend that they lost their 7 day old baby last week. Got me thinking why this happens and turns out, it’s not uncommon. India’s infant mortality rate is about 25 per 1,000 births. That’s 2.5% of infants who don’t survive. The sad part is that nearly 60% of these deaths are preventable with better care. This is where I believe AI in healthcare can truly make a difference. We can develop predictive models for at-risk pregnancies using maternal health data. Build remote monitoring systems that flag early signs of preterm labor. Even use image based diagnostics to catch neonatal infections before they turn fatal. I hope more people building for healthcare in India focus on solutions that can detect risks early and save lives. No parent should lose a child to something we could’ve seen coming.
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CJ Zafir
CJ Zafir@cjzafir·
"AI Agent" is a BUZZ word right now. The tech is not ready yet. AI agents are not possible without cheap reasoning models. Truth is, 98% AI agents are built with just IF or ELSE logic with tool calling and RAG capability. So they are not AI agents, but coded workers. Here's all you need to know about AI Agents: I worked with 40+ companies in 2024 and the most in demand product was - AI Agents. But then I explained them What is an AI agent exactly. An AI agent is a system that can think, reason, plan, execute and evaluate tasks on its own. That system won't require human input for each step. It can learn from collected data and its own mistakes over time. But is this Agent Tech available right now? Unfortunately no, it's not production ready. Because the main piece of Agent tech is missing - Reasoning LLM models. Models like GPT-4o, Sonnet 3.5, or open source models like Llama 3 are not Reasoning models, but implementation models. If you give them a detailed plan, they can execute perfectly 9/10 times but if you ask them to reason, think, plan and execute they mess up 8/10 times. OpenAI o1 model showed glimpses of smart reasoning. But it's not available to all via API (only tier 5) and also its not cheap ($15 per million input tokens and $60 per million output tokens) and lastly, it is slow (It takes 5 minutes on average to reason, think, and plan before executing and task) So as of now, we can build an AI agent that can work on its own but the accuracy of those agents are bad. They need human oversight. But in future we'll see 2 types of models: 1. Cheap and fast reasoning models 2. Ultra cheap and super fast implementation models And AI agents will use a mixture of these agents for specific tasks. How far is this AI Agent Tech? I think atleast 6 months from now. AI agents also need better framework (large context window, better system than RAG and large number of tools in their armoury) o3 model may solve reasoning issue and we also see some great open source reasoning models. Agentic system is the biggest vertical opportunity in AI Tech. Agents will learn, adapt and refine their logic on their own, and over time they'll become the best in their domain because of the collected structured data, and refined workflow. (but that will happen in future) Bottom line: AI Agent OS (operating system) is not ready yet. It requires cheap, fast and better reasoning models, large context window, and better system than RAG. It'll take some time to get there. But you can stll build: - voice to voice agents - research agents - systematic agents Build them for different b2b industries and sell them as a service or as a software. Companies are pouring money into AI innovation to get ahead of their competitors. They need AI Growth Consultants and AI Tech Devs to help them build their internal AI stack. Build these systems for them and learn about alot of different industries. I predict that AI SaaS founders will build the best AI agents! If you're not playing with AI code yet, you're losing the game. That's why I'm building @CodeGuidedev . It's turning out to be the home of AI coders. We're just 17-days old startup with 956 AI coders building projects with AI. CodeGuide 2.0 is 98% ready. (Mobile app, Community, Video Tutorials, Boilerplates, better Post-Download flows) ✨️ Join CodeGuide now and enjoy limited 30% discount on Yearly Membership. ✌️ Peace CJ
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Gizmodo
Gizmodo@Gizmodo·
How to Use FreedomGPT to Install Free ChatGPT Alternatives Locally on Your Computer dlvr.it/SwcxGG
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Ankur Warikoo
Ankur Warikoo@warikoo·
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Deedy
Deedy@deedydas·
Tech Layoff Meta - 11k (13%) Twitter - 3.7k (50%) Intel - 20% Snap - 20% Netflix - 450 Robinhood - 30% Stripe, Lyft - 13% Salesforce - 2k Amazon - 10k 120k+ layoffs. 2000-01 dot com layoffs were ~107k. Q4 layoffs have just begun. A brutally cold tech winter is coming.
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Vishal Singhhal
Vishal Singhhal@vishalsinghal·
#Networking is a highly underestimated skill especially among engineers while I feel it's one of the top 5 skills that should be developed for success in today's business/ job world? Share your thoughts here...
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Vishal Singhhal
Vishal Singhhal@vishalsinghal·
Spending on AI in the Asia-Pacific region is expected to increase at a CAGR of 34% between 2020 and 2025. A major part of this investment is likely to come from organizations that have already adopted AI and are looking to implemen…lnkd.in/dfQf2qJA lnkd.in/ddmERQNY
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Honey Yadav
Honey Yadav@HoneyYa62949118·
CUSTOMER LIFETIME VALUE (CLV) Prediction Analysis Workshop for Professionals using Cellstrat Platform. It provides the ability to business professionals to understand their customer assets. @machinelearning @CellStrat youtu.be/5AVIn2l3IBQ
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Vishal Singhhal
Vishal Singhhal@vishalsinghal·
Bldg & Training Models is one thng & Deplyng 'em for the world to use is anothr. #AI Deployment has always been a challenging & complicated task, hence, introducing @CellStrat Hub API Platform. Chk this video in which #vision model is deployed as an API: youtube.com/watch?v=Dsruvx…
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Vishal Singhhal
Vishal Singhhal@vishalsinghal·
Leveraging AI Forecasting Models in a Data-Light Environment — a Brief Guide Demand forecasting is an integral component of several business functions within an organizational setup; from risk assessment to workforce planning all…lnkd.in/gS6C-8nc lnkd.in/gW4WAScz
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