CodeT5
Open source code understanding and generation models from Salesforce Research used for translation summarization and synthesis across many programming languages.
Pricing Free
Category research
Difficulty Beginner
Type Web App
Status Active
Iris.ai
Enterprise retrieval and evaluation platform for secure agentic AI over private corpora with workflows for ingestion testing and governance.
Pricing By quote
Category research
Difficulty Beginner
Type Web App
Status Active
Feature Tags Comparison
Only in CodeT5
llmopen-sourcecodetranslationgeneration
Shared
None
Only in Iris.ai
retrievalenterprisegovernanceevaluationsecurity
Key Features
CodeT5
- • Open weights and examples for research and applied prototypes
- • Supports generation summarization translation and explanation
- • Encoder decoder design with variants for different sizes
- • Reference scripts datasets and evaluation guidance
- • Strong baselines on public coding benchmarks
- • Compatible with popular deep learning frameworks
Iris.ai
- • Governed Ingestion: Connect wikis drives and repos then normalize content with metadata access rules and retention policies for compliance
- • Evaluation Workflows: Run automatic metrics and human rubrics to measure accuracy hallucination rate and coverage before launch
- • Guardrails and Policies: Define prompts filters and safety limits that block sensitive data flow and unsafe responses in production
- • Observability and Drift: Track quality usage and model costs then alert owners when performance moves outside accepted ranges
- • Integrations: Use existing vector stores model providers and identity controls so deployments align with current architecture
- • Red Teaming: Exercise prompts tools and environments to uncover jailbreaks and leakage risks before go live
Use Cases
CodeT5
- → Bootstrap code assistants without external API reliance
- → Translate between languages or frameworks for migrations
- → Summarize long source files or PRs for reviewers
- → Label functions and generate docstrings for clarity
- → Build evaluation harnesses for coding tasks and RAG
- → Teach students about program synthesis with open weights
Iris.ai
- → Stand up secure knowledge assistants for employees that search approved sources with clear citations
- → Reduce support handle time by routing assistants to articles with evaluation backed accuracy and policy bounds
- → Enable research teams to explore large archives and synthesize findings with traceable sources for compliance
- → Run pilots that compare prompts models and retrieval settings to pick the highest quality approach
- → Prepare audit evidence with documented controls and results to satisfy internal and external requirements
- → Connect identity and permissions so assistants respect document level access across departments
Perfect For
CodeT5
researchers educators and developers who prefer open weights for code tasks and need reproducible baselines scripts and offline operation
Iris.ai
enterprise knowledge leaders compliance teams information security and platform engineers who need measurable safe retrieval over private data
Capabilities
CodeT5
Synthesis and Docstrings Professional
Language to Language Intermediate
Long Files Intermediate
Fine Tuning Professional
Iris.ai
Governed sources Professional
Quality and safety Professional
Policies and guardrails Intermediate
Drift and reporting Intermediate
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