Rajesh Thallam

@RajeshThallam · User

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Applied AI @ Google Cloud

@GoogleCloudPlatformSan Francisco, CA48 followers65 repositories

Repositories

RajeshThallam/vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

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RajeshThallam/ge-mini-swe-agent

The 100 line AI agent that solves GitHub issues or helps you in your command line. Radically simple, no huge configs, no giant monorepo—but scores 68% on SWE-bench verified!

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RajeshThallam/adk-python

An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

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RajeshThallam/vertex-ai-samples

Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.

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RajeshThallam/auto-code-rover

A project structure aware autonomous software engineer aiming for autonomous program improvement. Resolved 30.67% tasks (pass@1) in SWE-bench lite and 38.40% tasks (pass@1) in SWE-bench verified with each task costs less than $0.7.

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RajeshThallam/Open_Data_QnA

The Open Data QnA python library enables you to chat with your databases by leveraging LLM Agents on Google Cloud. Open Data QnA enables a conversational approach to interacting with your data.

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RajeshThallam/vector-io

Use the universal VDF format for vector datasets to easily export and import data from all vector databases

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RajeshThallam/fastertransformer-converter

This repository is a code sample to serve Large Language Models (LLM) on a Google Kubernetes Engine (GKE) cluster with GPUs running NVIDIA Triton Inference Server with FasterTransformer backend.

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RajeshThallam/tpu-vm-on-gke

This code sample describes how to to run a Vertex AI Pipeline that launches jobs on Cloud TPU VM registered on GKE cluster.

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RajeshThallam/t5x-on-vertex-ai

This repository compiles prescriptive guidance and code samples demonstrating how to operationalize Google Research T5X framework on Google Cloud Vertex AI.

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