“Pratima was part of our analytics team, a very valuable member, supported us in building and delivering LLM and NLP related products and services. She was smart and dedicated and always delivered high quality results. She was very creative and supported us in team engagement activities as well. I very much enjoyed having her on the team and would welcome any future opportunity to work together again!!”
About
As a Senior Data Scientist at Pegasystems, I work on enhancing the capabilities of human…
Activity
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Without Guardrails, your AI Agents are just automating liability Here's a simple demo of how the guardrails protect your agents... What happens…
Without Guardrails, your AI Agents are just automating liability Here's a simple demo of how the guardrails protect your agents... What happens…
Liked by Pratima Rathore
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It is critical for scientific integrity that we trust our measure of progress. The Chatbot Arena has become the go-to evaluation for frontier AI…
It is critical for scientific integrity that we trust our measure of progress. The Chatbot Arena has become the go-to evaluation for frontier AI…
Liked by Pratima Rathore
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🍀 Rowboat 🔥 Nocode + MultiAgent ⚡️⚡️⚡️ ✨ GitHub: https://lnkd.in/gfwDCNaE 🎉 Landing page: https://lnkd.in/gyfUiQC3 🎁 Demo Video:…
🍀 Rowboat 🔥 Nocode + MultiAgent ⚡️⚡️⚡️ ✨ GitHub: https://lnkd.in/gfwDCNaE 🎉 Landing page: https://lnkd.in/gyfUiQC3 🎁 Demo Video:…
Liked by Pratima Rathore
Experience & Education
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Pegasystems
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Volunteer Experience
Projects
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ANN-using-MNIST-dataset
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See projectbuilding a complete neural network using Numpy. You will use the MNIST dataset to train your model to classify handwritten digits between 0-9.
The code is divided into the following sections for better unnderstanding:
1.Data preparation
2. Feedforward
3.Loss computation
4.Backpropagation
5.Parameter updates Model training and predictions -
Heart Disease Prediction and Analysis using Random Forest
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See projectMachine learning (ML) proves to be effective in assisting in making decisions and predictions from the large quantity of data produced by the healthcare industry. This project is one such example in detecting whether a patient has heart disease or not based on some factors from their patient profile
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POS-Tagging-using-RNN
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See projectPOS Tagging using RNN Variants ( Vanilla RNN, LSTM , GRU , Bidrectional GRU)
We will be comparing the result in terms of accuracy , time and training parameters for different variants in POS tagging. -
Stock Price Case study using CNN-RNN
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See projectHere we have used a stock market price index data to implement the 1D CNN-RNN architecture
We'll try to model this relationship between the news and the stock market price of an index. Our assumption in modelling the stock price in this exercise is that news headlines that run on a particular day affect the opening stock price of an index the very next morning.
The important thing to keep in mind while doing this code,we will focus on the process of extracting textual features…Here we have used a stock market price index data to implement the 1D CNN-RNN architecture
We'll try to model this relationship between the news and the stock market price of an index. Our assumption in modelling the stock price in this exercise is that news headlines that run on a particular day affect the opening stock price of an index the very next morning.
The important thing to keep in mind while doing this code,we will focus on the process of extracting textual features using 1D CNN and then feeding them to an RNN.
Honors & Awards
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Wizard @work
Accenture
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Client value creation
Accenture
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Networking Guru
International Institute of Information Technology
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Top Performer
LJMU
Top Performer - Masters in Data Science LJMU | Cohort 8 | Dec 2019 - july 2022
Languages
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English
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Hindi
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Punjabi
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Recommendations received
7 people have recommended Pratima
Join now to viewMore activity by Pratima
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Yesterday, we released our paper, "Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory"📄 We have developed a transformative…
Yesterday, we released our paper, "Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory"📄 We have developed a transformative…
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Meta released Llama Guard 4 and new Prompt Guard 2 models 🦙❤️ > Llama Guard 4 is a new model to filter model inputs/outputs both text-only and…
Meta released Llama Guard 4 and new Prompt Guard 2 models 🦙❤️ > Llama Guard 4 is a new model to filter model inputs/outputs both text-only and…
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𝗜 𝘁𝗿𝗮𝗶𝗻𝗲𝗱 𝗮 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹 𝘁𝗼 𝘀𝗰𝗵𝗲𝗱𝘂𝗹𝗲 𝗲𝘃𝗲𝗻𝘁𝘀 𝘄𝗶𝘁𝗵 𝗚𝗥𝗣𝗢! 👑 🗓️ I experimented with GRPO lately. I am…
𝗜 𝘁𝗿𝗮𝗶𝗻𝗲𝗱 𝗮 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹 𝘁𝗼 𝘀𝗰𝗵𝗲𝗱𝘂𝗹𝗲 𝗲𝘃𝗲𝗻𝘁𝘀 𝘄𝗶𝘁𝗵 𝗚𝗥𝗣𝗢! 👑 🗓️ I experimented with GRPO lately. I am…
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Today at Mem0, I’m excited to share our latest research on “Building production ready AI Agents with Scalable Long-Term Memory”. We’ve achieved…
Today at Mem0, I’m excited to share our latest research on “Building production ready AI Agents with Scalable Long-Term Memory”. We’ve achieved…
Liked by Pratima Rathore
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💤 𝐒𝐥𝐞𝐞𝐩-𝐭𝐢𝐦𝐞 𝐂𝐨𝐦𝐩𝐮𝐭𝐞: 𝐃𝐞𝐜𝐨𝐮𝐩𝐥𝐢𝐧𝐠 𝐂𝐨𝐦𝐩𝐮𝐭𝐚𝐭𝐢𝐨𝐧 𝐟𝐫𝐨𝐦 𝐈𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐢𝐧 𝐋𝐋𝐌𝐬 The prevailing approach…
💤 𝐒𝐥𝐞𝐞𝐩-𝐭𝐢𝐦𝐞 𝐂𝐨𝐦𝐩𝐮𝐭𝐞: 𝐃𝐞𝐜𝐨𝐮𝐩𝐥𝐢𝐧𝐠 𝐂𝐨𝐦𝐩𝐮𝐭𝐚𝐭𝐢𝐨𝐧 𝐟𝐫𝐨𝐦 𝐈𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐢𝐧 𝐋𝐋𝐌𝐬 The prevailing approach…
Shared by Pratima Rathore
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𝗧𝗵𝗿𝗶𝗹𝗹𝗲𝗱 𝘁𝗼 𝗟𝗮𝘂𝗻𝗰𝗵 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗼𝗿 𝗽𝘆𝘁𝗵𝗼𝗻 𝗹𝗶𝗯𝗿𝗮𝗿𝘆! AI agents are now easier to build than ever!…
𝗧𝗵𝗿𝗶𝗹𝗹𝗲𝗱 𝘁𝗼 𝗟𝗮𝘂𝗻𝗰𝗵 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗼𝗿 𝗽𝘆𝘁𝗵𝗼𝗻 𝗹𝗶𝗯𝗿𝗮𝗿𝘆! AI agents are now easier to build than ever!…
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I found that LLMs still struggle with remembering past interactions. Every conversation feels like starting from scratch, forcing you to constantly…
I found that LLMs still struggle with remembering past interactions. Every conversation feels like starting from scratch, forcing you to constantly…
Liked by Pratima Rathore
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Product evals are misunderstood. Many teams think that adding another tool, metric, or llm-as-judge will solve all their problems and save their…
Product evals are misunderstood. Many teams think that adding another tool, metric, or llm-as-judge will solve all their problems and save their…
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A 128K context length embedding model, which is about 200 pages, is pretty exciting work!
A 128K context length embedding model, which is about 200 pages, is pretty exciting work!
Liked by Pratima Rathore
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Completed the "Introduction to LangGraph" course by LangChain Academy — levelling up my skills in building AI-powered, multi-agent workflows! 🤖⚙️…
Completed the "Introduction to LangGraph" course by LangChain Academy — levelling up my skills in building AI-powered, multi-agent workflows! 🤖⚙️…
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We’ve seen a surge in agentic frameworks recently, and many companies have already built impressive projects using them. However, as agent flows grow…
We’ve seen a surge in agentic frameworks recently, and many companies have already built impressive projects using them. However, as agent flows grow…
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Hello Everyone, do you have 𝙋𝙧𝙤𝙙𝙪𝙘𝙩𝙞𝙤𝙣 𝙂𝙧𝙖𝙙𝙚 " 𝗔̲𝗴̲𝗲̲𝗻̲𝘁̲𝗶̲𝗰̲ 𝙏𝙚𝙭𝙩-𝙩𝙤-𝙎𝙌𝙇 𝙬𝙞𝙩𝙝 𝙈𝙪𝙡𝙩𝙞-𝘿𝘽 𝙌𝙪𝙚𝙧𝙮…
Hello Everyone, do you have 𝙋𝙧𝙤𝙙𝙪𝙘𝙩𝙞𝙤𝙣 𝙂𝙧𝙖𝙙𝙚 " 𝗔̲𝗴̲𝗲̲𝗻̲𝘁̲𝗶̲𝗰̲ 𝙏𝙚𝙭𝙩-𝙩𝙤-𝙎𝙌𝙇 𝙬𝙞𝙩𝙝 𝙈𝙪𝙡𝙩𝙞-𝘿𝘽 𝙌𝙪𝙚𝙧𝙮…
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Why Memory in AI Agents is important? Everyone’s chasing bigger context windows and smarter RAG pipelines. But that’s not what makes agents…
Why Memory in AI Agents is important? Everyone’s chasing bigger context windows and smarter RAG pipelines. But that’s not what makes agents…
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15 ways to optimize neural network training: (used in models like GPT, Llama, etc.) - Use efficient optimizers—AdamW, Adam, etc. - Utilize hardware…
15 ways to optimize neural network training: (used in models like GPT, Llama, etc.) - Use efficient optimizers—AdamW, Adam, etc. - Utilize hardware…
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After building in the agentic space for quite some time with multiple known frameworks, a few lessons hit hard when trying to put agents into…
After building in the agentic space for quite some time with multiple known frameworks, a few lessons hit hard when trying to put agents into…
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