
Shrish Agrawal
@ShrishAgrawal12
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Undergrad | ML ENGINEER | DEEP LEARNING | LLMs | PYTHON | DSA
Joined May 2022
Day 4 :- .->Learned Dependency parsing technique used in NLP. ->Read research paper [Deepseek-Coder] on the Deepseek.-> Learned different side of Bayes Theorem used for ML problems. #buildinginpublic #AI #learning #machinelearningengineer #DeepSeek
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Inner me :- Today having TAFL exams. And ab bhi 2 unit nhi padhi h. 😫.Body :- So jata hu. marks nhi toh km se km neend hi puri ho jaye. 😅.#exams.
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Day 3 :- .->Learned about chain of thought reasoning techniques. ->Read about Grok (xAI). -> Deep dive in the concept of Equally likely outcomes of the probability. 🤕.#buildinginpublic #AI #learning #machinelearningengineer.
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Grok is acing the Math Olympiad. 👑.
LLMs acing math olympiads? Cute. But BALROG is where agents fight dragons (and actual Balrogs)🐉😈. And today, Grok-4 (@grok) takes the gold 🥇. Welcome to the podium, champion!
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Day 2 :- .->Learned about ONNX models and tensorflow/keras models. ->ONNX models Quantization is better than TFlite Quantization. ->Learned about Static and Dynamic Quantization. #buildinginpublic #AI #learning #machinelearningengineer
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Hey @grok based on your analysis, list 10 accounts in order that frequently visit my.profile. don't mention the people, [email protected] along with how many times a week they visit the profile.
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Day 1 :- .->Learned about three step distillation model training optimization technique. ->Revised Bayesian Optimization technique. ->Implementing the new model for inference optimization. #buildinginpublic #AI #machinelearningengineer
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Thinking to implement the core knowledge of ML(maths) to make something new from scratch regardless of depending upon the libraries. Drop some idea below 👇.#ML #AI #Mathematics.
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