CGFT

CGFT

AI Finetuned On /your/ Codebase

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Description

CGFT specializes in developing custom Large Language Models (LLMs) tailored to an organization's specific codebase. This service enables engineering teams to leverage AI that understands their unique internal frameworks, patterns, and data. The models are securely trained and can be deployed directly within the client's Virtual Private Cloud (VPC), ensuring data privacy and control.

By finetuning LLMs on proprietary code, CGFT aims to significantly improve the accuracy and relevance of AI-assisted engineering tasks. This approach is particularly beneficial for complex, enterprise-grade codebases, offering enhanced performance for activities such as code completion and other operations throughout the Software Development Life Cycle (SDLC). The repo-specific finetuning pipeline has demonstrated capabilities like achieving 50% more accurate code completions.

Key Features

Custom LLMs: Built specifically for your engineering team's codebase.

Secure Training & Deployment: Models are trained and deployed in your VPC.

SDLC Optimization: Optimized for various tasks across the Software Development Life Cycle.

Repo-Specific Finetuning: Pipeline designed to improve LLM performance on specific repositories.

Improved Code Completion: Achieves up to 50% more accurate code completions.

Use Cases

Enhancing code completion accuracy for developers.

Automating and optimizing tasks within the SDLC for enterprise codebases.

Building AI tools that deeply understand proprietary code and internal frameworks.

Securely leveraging LLMs for internal engineering processes within a VPC.

Improving engineering productivity through AI tailored to specific coding patterns.

Description

Key Features

Use Cases

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