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idk who needs to hear this but

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So unnecessary yet so cool 😭

So unnecessary yet so cool 😭

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Anya Rossi

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Last 4 months of the year , Lockin

Last 4 months of the year , Lockin

86,936 views • 10 months ago

introducing kenkyu kenkyu is an autonomous research agent that I made a while back. it is designed to transform a single user query into a comprehensive, structured report. how it works : - it takes user input as query - plans the next course of action - researches about the plan created using tavily - synthesis the collected information into a detailed final response it functions by orchestrating a multi agent workflow that mimics the steps of a human researcher , but at a much higher speed and scale. this is the v0 prototype, currently open source as of now and i have a lot of things planned that i want to add it in the future.

introducing kenkyu kenkyu is an autonomous research agent that I made a while back. it is designed to transform a single user query into a comprehensive, structured report. how it works : - it takes user input as query - plans the next course of action - researches about the plan created using tavily - synthesis the collected information into a detailed final response it functions by orchestrating a multi agent workflow that mimics the steps of a human researcher , but at a much higher speed and scale. this is the v0 prototype, currently open source as of now and i have a lot of things planned that i want to add it in the future.

35,183 views • 5 months ago

timelapse {#43} - 8 to 5 college - lot of new blogs lined up - implemented persistence , fault tolerance and time travel in langgraph days are becoming so hectic , its so hard to keep up everything with college

timelapse {#43} - 8 to 5 college - lot of new blogs lined up - implemented persistence , fault tolerance and time travel in langgraph days are becoming so hectic , its so hard to keep up everything with college

23,134 views • 5 months ago

timelapse {#24} > working on genai > sequential and conditional chains > structured output parsers > starting ISLP

timelapse {#24} > working on genai > sequential and conditional chains > structured output parsers > starting ISLP

15,662 views • 8 months ago

timelapse {#33} - started working with convolutional neural networks - build a custom cnn pipeline on mnist dataset - was using bhindiai all along to explain me the code - speed ran the theory part, focus was main on the implementation

timelapse {#33} - started working with convolutional neural networks - build a custom cnn pipeline on mnist dataset - was using bhindiai all along to explain me the code - speed ran the theory part, focus was main on the implementation

13,526 views • 6 months ago

timelapse {#31} - wrote some more functionalities in pytorch - worked on some model evaluation stuff with pytorch

timelapse {#31} - wrote some more functionalities in pytorch - worked on some model evaluation stuff with pytorch

11,912 views • 6 months ago

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