LlamaCoder Integrations

Taam Cloud is a comprehensive platform for integrating and scaling AI APIs, providing access to more than 200 advanced AI models. Whether you're a startup or a large enterprise, Taam Cloud makes it easy to route API requests to various AI models with its fast AI Gateway, streamlining the process of incorporating AI into applications. The platform also offers powerful observability features, enabling users to track AI performance, monitor costs, and ensure reliability with over 40 real-time metrics. With AI Agents, users only need to provide a prompt, and the platform takes care of the rest, creating powerful AI assistants and chatbots. Additionally, the AI Playground lets users test models in a safe, sandbox environment before full deployment. Taam Cloud ensures that security and compliance are built into every solution, providing enterprises with peace of mind when deploying AI at scale. Its versatility and ease of integration make it an ideal choice for businesses looking to leverage AI for automation and enhanced functionality.

Introducing an open-source AI model that can be fine-tuned, distilled, and deployed across various platforms. Our newest instruction-tuned model comes in three sizes: 8B, 70B, and 405B, giving you options to suit different needs. With our open ecosystem, you can expedite your development process using a diverse array of tailored product offerings designed to meet your specific requirements. You have the flexibility to select between real-time inference and batch inference services according to your project's demands. Additionally, you can download model weights to enhance cost efficiency per token while fine-tuning for your application. Improve performance further by utilizing synthetic data and seamlessly deploy your solutions on-premises or in the cloud. Take advantage of Llama system components and expand the model's capabilities through zero-shot tool usage and retrieval-augmented generation (RAG) to foster agentic behaviors. By utilizing 405B high-quality data, you can refine specialized models tailored to distinct use cases, ensuring optimal functionality for your applications. Ultimately, this empowers developers to create innovative solutions that are both efficient and effective.

Be it prompt engineering, fine-tuning, or extensive training, we are fully equipped to fulfill your business needs. Seamlessly incorporate your newly developed model into your application with the Together Inference API, which offers unparalleled speed and flexible scaling capabilities. Together AI is designed to adapt to your evolving requirements as your business expands. You can explore the training processes of various models and the datasets used to enhance their accuracy while reducing potential risks. It's important to note that the ownership of the fine-tuned model lies with you, not your cloud service provider, allowing for easy transitions if you decide to switch providers for any reason, such as cost adjustments. Furthermore, you can ensure complete data privacy by opting to store your data either locally or within our secure cloud environment. The flexibility and control we offer empower you to make decisions that best suit your business.

The Gemma family consists of advanced, lightweight models developed using the same innovative research and technology as the Gemini models. These cutting-edge models are equipped with robust security features that promote responsible and trustworthy AI applications, achieved through carefully curated data sets and thorough refinements. Notably, Gemma models excel in their various sizes—2B, 7B, 9B, and 27B—often exceeding the performance of some larger open models. With the introduction of Keras 3.0, users can experience effortless integration with JAX, TensorFlow, and PyTorch, providing flexibility in framework selection based on specific tasks. Designed for peak performance and remarkable efficiency, Gemma 2 is specifically optimized for rapid inference across a range of hardware platforms. Furthermore, the Gemma family includes diverse models that cater to distinct use cases, ensuring they adapt effectively to user requirements. These lightweight language models feature a decoder and have been trained on an extensive array of textual data, programming code, and mathematical concepts, which enhances their versatility and utility in various applications.