Harshit Raj Kumar

169 posts

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Harshit Raj Kumar

Harshit Raj Kumar

@Harrxit

CS Engg | I code sometimes | / i \ Avgeek / i \ Gen-AI | People call me glorified API Caller XD

Bangalore,India Katılım Temmuz 2017
36 Takip Edilen31 Takipçiler
noitsakshay
noitsakshay@harwalkarakshay·
@Harrxit Bhai ek cheez khaata hu roz breakfast me
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noitsakshay
noitsakshay@harwalkarakshay·
Guys, follower nhi badh rhe
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M@mayuuukhh·
Zepto ji kya hogya, order aaega ya nhi🥲
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noitsakshay
noitsakshay@harwalkarakshay·
Bhai 4 ghante ke break ka mai kya karu college me
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Harshit Raj Kumar
Harshit Raj Kumar@Harrxit·
What are some ideas we can potentially execute in tier 2 cities. Most of the innovations are saturated around metro cities. I think non metros posses great potentials as well. Comments appreciated :)
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Harshit Raj Kumar
Harshit Raj Kumar@Harrxit·
I feel the scope in ASR has drastically increased especially in the human engaged call centres where system understands the context and helps in capturing user responses better. And yeah...more data to work with :)
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Harshit Raj Kumar
Harshit Raj Kumar@Harrxit·
Some real world use cases could be: •Chatbot logs for CRM •Structured task extraction •Generating config files •Extracting entities for search indexing •Passing outputs to downstream APIs or pipelines
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Harshit Raj Kumar
Harshit Raj Kumar@Harrxit·
JSON Prompting is so underrated Want LLMs to respond in clean, structured formats? Here we go... JSON prompting is the secret sauce. - Predictable output - Easy to parse - Great for APIs & function calling *Prompt smart. Parse easy.* #AI #PromptEngineering
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Harshit Raj Kumar
Harshit Raj Kumar@Harrxit·
@hoomanlabs The Voice agent concept is quite great, I am in this space since a very long time and would love to join hands and do wonders 🤩.
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Harshit Raj Kumar
Harshit Raj Kumar@Harrxit·
Whenever you suceed building a PoC on a model, some billion dollar company releases a new ASR inference with better efficiency, accuracy and efficacy 😭...Why ?
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Harshit Raj Kumar
Harshit Raj Kumar@Harrxit·
I've been working with Language models from past year and following the trend. Surprisingly, LLM Evaluation is turning out to be the next big trend in the AI space. I'll be learning more on LLM evaluation libraries (RAGAS, Deepcheck etc). Suggestions and tips appreciated 😁
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