Best Prompt Engineering Tools for Jira

Klu.ai, a Generative AI Platform, simplifies the design, deployment, and optimization of AI applications. Klu integrates your Large Language Models and incorporates data from diverse sources to give your applications unique context. Klu accelerates the building of applications using language models such as Anthropic Claude (Azure OpenAI), GPT-4 (Google's GPT-4), and over 15 others. It allows rapid prompt/model experiments, data collection and user feedback and model fine tuning while cost-effectively optimising performance. Ship prompt generation, chat experiences and workflows in minutes. Klu offers SDKs for all capabilities and an API-first strategy to enable developer productivity. Klu automatically provides abstractions to common LLM/GenAI usage cases, such as: LLM connectors and vector storage, prompt templates, observability and evaluation/testing tools.

Empower non-technical and technical teams to test LLM apps, and ship more reliable products faster. Accelerate LLM app development in as little as 45 days. A collaborative and friendly UI empowers both technical and non-technical team members. With comprehensive test coverage, you can gain full visibility into the behavior of your LLM application. Ottic integrates with the tools that your QA and Engineers use every day. Build a comprehensive test suite that covers any real-world scenario. Break down test scenarios into granular steps to detect regressions within your LLM product. Get rid of hardcoded instructions. Create, manage, track, and manage prompts with ease. Bridge the gap between non-technical and technical team members to ensure seamless collaboration. Tests can be run by sampling to optimize your budget. To produce more reliable LLM applications, you need to find out what went wrong. Get real-time visibility into the way users interact with your LLM app.