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
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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
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 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
Integration Airtable
Search CMD+K Search and Navigation
Quick Add Quickly create or add Actions, Skills, Context, and Models
Context Audio and Video file support
Context eBook file support
Context Large files (up to 1GB)
Workflow Runs Manual, Triggered, and Scheduled
Actions Beta release of Workflows
Context Better Doc/Docx Support
Context Better PDF OCR Support
LLM Anthropic Claude 2
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
Actions Debug and Error Log for Generation
Context Automatically maximize context content based on model and action
Context Manage Context meta data
Context PostgreSQL
Context MongoDB
Context MySQL
Context Web Crawler
Deploy Action variables now validated
Members Pending member invites now display in Workspace
Optimize Test experiments in Klu Studio
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
Deploy Use Python SDK instructions
LLM Improvements for GooseAI and NLP Cloud
LLM Support for custom Azure model deployment naming
Playground All LLM providers supporting streaming now stream in Playground
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
SDK Data Import
Backfill your existing prompt and completion data to Klu through the SDK for optimization with RLHF and model fine-tuning.
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.
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.
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.
Optimize Fine-tune OpenAI models
You can now fine-tune OpenAI models within Klu.ai using your data, bringing the power of OpenAI's LLM directly to your applications.
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 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.
LLM Cohere Base and Command
LLM Anthropic Claude streaming
Markdown MD support in Playground, Conversations, Data
Workspace New Workspace Onboarding and Getting Started guides
API Conversation sessions
Context Download uploaded Context files
LLM Anthropic Claude & Claude-Instant 100k
Data Pagination for hundreds of thousands of rows
LLM Get all available models from Providers
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
SDK Python SDK for Workspace, Apps, Actions, Context, and Models
API Streaming responses available via API
Apps 4 types: Simple, Complex, Document Search, and Full AI
Integrations Connect Intercom, Zendesk, Zoom
Deploy Use API instructions
Integrations Connect JIRA, PagerDuty, Microsoft Teams
LLM OpenAI GPT-4 support
Workspace Switch Workspaces
Actions View last used, updated
Integrations Connect Clickup, Front, Github
Workspace Manage URL and name
Actions Edit Actions
Defaults Set Workspace defaults
Playground Explore Prompts with Context and Skills
Feedback Generation issue reporting, Up/down voting
Actions Detail overview, assign multiple context indices or skills
Create Create Apps, Agents, and Skills in Klu Studio
Prompt Generation, History
API App, Actions, Data, Context, Models, and Users
Authentication Google SSO
Context Upload files for Context
Members Invite Users to Workspace
Klu.ai Schema, Engine, App