Start using your own API keys with the new AWS Bedrock integration.

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We recently transitioned our SDK's from @orquesta to @orq-ai across all platforms to align with our branding and focus on AI. This includes some breaking changes!

Today, we launched our new Playground V2. This updated layout is designed for prompt engineering. By keeping the prompt template separate from the chat messages, it's easier to fine-tune your prompt. When you clear the chat messages, the prompt template will still be there.

With the launch of Claude 3, Anthropic is challenging the status quo. Its most advanced model 'Opus' is supposedly better than GPT-4. However, it's also around 2.5 times more expensive than GPT-4. Haiku, the cheapest and least capable model, is around the same price as GPT-3.5 and is really fast.

With the new Hyperlinking feature, you are able to take your use case from one module to the other. Switching between the Playground, Experiments, and Deployments allows you to make quick iterations throughout the whole platform. Whether you want to take your Playground setup to Experiments or your Deployment to Playground, it's all possible.

You can now use Groq as your LLM provider. It currently hosts the following models: llama2-70b-chat, mixtral-8x7b-32768, and Gemma-7b-it.

You can now create your own custom LLM evalutator. This allows you to go beyond the standard evaluators like BLEU and Valid JSON.

With this new feature, you're able to use the output of a large language model like GPT-4 as the reference for another model like Gemma-7b and Mistal-large (see image).

Check out the newly added models on orq.ai. You can find them in the model garden.

Instead of manually adding your data sets or uploading them through a CSV file in experiments, you can now import them from the files you stored in Resources. This allows you to store and access your files in a quick and efficient manner.