Design, deploy, and optimize Generative AI apps

Klu is a Generative AI app platform that simplifies the design, deployment, and optimization of AI-enabled applications.

From predictive analysis to always-on copilots, Klu unlocks your imagination.

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New OpenAI Model

OpenAI announced the GPT-3.5-turbo-instruct model, the successor to the Davinci family and a better option for non-Chat Klu Actions.

LLM OpenAI GPT-3.5-turbo-instruct

Klu Optimize GPT 3.5 Fine-tuning

OpenAI's fine-tuning capabilities for GPT-3.5-turbo gpt-3.5-turbo-0603 launched yesterday. Klu Optimize now supports fine-tuning models based on your data. Klu also supports the new Davinci and Babbage variations davinci-002 and babbage-002 for fine-tuning – these replace the legacy versions of the previous models slated for deprecation on 2024-01-04.

Optimize GPT-3.5-turbo fine-tuning

Optimize Davicini-002 fine-tuning

Optimize Babbage-002 fine-tuning

Optimize Demo: ChatJRE, fine-tuned on Joe Rogan content

Klu Observe

Klu Observe now aggregates all workspace usage and generative data analysis into one view across the entire Workspace.

Observe Usage Costs

Observe Workspace Data and Usage

Observe Top Models and Data Sources

Platform Improvements

Actions Input Token Estimations Displayed

Context Zendesk

Deploy Action-specific deployment instructions for API and SDK

Deploy Optional Caching for API and SDK generations

Playground Warning when about to lose changes

Platform Improvements

Deploy Action variables now validated

Members Pending member invites now display in Workspace

Optimize Test experiments in Klu Studio

New Skills

Skills Describe Image or URL, Request Raw HTML

Skills Answer questions from structured data with Pandas

Skills Run Terminal commands

Skills Query SQL in Natural Language

UX Improvements

Data Filter by feedback and labels

Integrations Disconnect and reconnect to a new account

LLM Set default model for all providers in Workspace

Optimize Fine-tune with custom data frames

Optimize View more Action details in Experiments

Data Backfill

SDK Data Import

Backfill your existing prompt and completion data to Klu through the SDK for optimization with RLHF and model fine-tuning.

Optimize with Experiments

Optimize Manage Experiments

API Experiments

You can now optimize actions by testing head-to-head performance in your real-world applications. Test different providers, model configurations, or prompts while tracking feedback and model performance.

Data, Optimize, Skills

This release introduces a range of new features and updates including fine-tuning API improvements, new data management and export capabilities, ability to fine-tune OpenAI models, SDK enhancements for better data navigation and streaming, and new AI Skills creation with Python and Zapier NLA integration.

Klu Observe

Data Filter, sort, and search

We've introduced the ability to filter, sort, and search your data, allowing you to gain insights and easily locate specific datasets.

Data Export JSONL, CSV

We now support exporting your data in both JSONL and CSV formats, offering more options for you to interact with your data outside the platform.

Klu Optimize

Optimize Fine-tune OpenAI models

You can now fine-tune OpenAI models within using your data, bringing the power of OpenAI's LLM directly to your applications.

New Skills

Skills Python, Zapier NLA

You can now create AI Skills using Python, allowing you to take advantage of the language's extensive ecosystem of libraries and frameworks. We have introduced Natural Language Actions (NLA) integration with Zapier, enabling you to connect and automate tasks in over 5,000+ apps and 30,000+ actions using natural language commands.

API Enhancements

API Finetune

We have expanded capabilities allowing you to create, read, and delete fine-tuning jobs. This provides you with a more flexible way to control and manage your fine-tuning workflows.

API Skills

We introduced the ability to create skills, making it easier to manage and deploy different AI models and algorithms in your applications.


SDK Pagination, Prompt Streaming

We've improved our SDK to support pagination, allowing you to efficiently navigate through large data sets or results. We have introduced the ability for prompt streaming in our SDK. This allows you to feed in data to your apps in a stream, allowing for more flexible and efficient end user experience.


Actions Configure model config

Action Templates Quickly create new Actions

App Management Move, copy, delete Actions

In-App Feedback Send feedback to Klu team

Integrations Delete Context, Skills

Workspace Remove Members, delete Workspace