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sharpeye

@sharpeye_wnl • 8,619 subscribers

ml/ai engineer @ocallyhq

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Last 4 months of the year , Lockin

Last 4 months of the year , Lockin

87,308 просмотров • 1 год назад

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.

35,310 просмотров • 8 месяцев назад

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 просмотров • 8 месяцев назад

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

15,812 просмотров • 11 месяцев назад

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 просмотров • 9 месяцев назад

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

11,935 просмотров • 9 месяцев назад

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