Question: I'm looking for a solution that provides customized large language models for my industry, can you help me with that?

Prem screenshot thumbnail

Prem

If you want to create your own large language models for your own industry, Prem could be a good option. The AI platform lets businesses use their own Large Language Models (LLMs) with a developer-friendly interface and fine-tuning that's customized for their needs. It's focused on data sovereignty and doesn't rely on third-party suppliers. It's got tools for prompt engineering, evaluation and deployment, so it's good for people who don't have a lot of AI expertise. The platform lets you train models with your own prompts and run them on your own premises for maximum data security.

Dayzero screenshot thumbnail

Dayzero

Another contender is Dayzero, an enterprise AI platform that can power hyper-personalized applications with custom LLMs. It's got products like Worx for training and deploying generative AI models, Altimo for AI assistant tasks and Blox for automating processes. The platform can accommodate precision pre-training, a custom application layer and personalized fine-tuning, so it's good for companies in many fields. Dayzero offers cloud-agnostic deployment and data protection compliance.

Lamini screenshot thumbnail

Lamini

Lamini is an enterprise LLM platform for software teams that want to train, manage and deploy their own LLMs on their own data. It's got options like memory tuning for high accuracy, deployment on different environments and guaranteed JSON output. The platform can be installed on-premise or in the cloud, and it can handle thousands of LLMs. Lamini also offers full lifecycle management for models, including selection and deployment.

Turing screenshot thumbnail

Turing

If you want to improve LLM performance and build your own genAI products, Turing is a powerful platform. It's got model evaluation tools, coding optimization tools and integration with agents and functions. Turing also offers engineering services for training and optimizing LLMs, so you can build your own applications with AI/ML and generative AI. The company's customers include healthcare, finance and retail, and it's got products to automate tasks and make decisions.

Additional AI Projects

Predibase screenshot thumbnail

Predibase

Fine-tune and serve large language models efficiently and cost-effectively, with features like quantization, low-rank adaptation, and memory-efficient distributed training.

Allganize screenshot thumbnail

Allganize

Unlock efficient business growth with a one-stop shop for large language model-powered apps, featuring customizable models, secure infrastructure, and no-code app building.

LlamaIndex screenshot thumbnail

LlamaIndex

Connects custom data sources to large language models, enabling easy integration into production-ready applications with support for 160+ data sources.

Dify screenshot thumbnail

Dify

Build and run generative AI apps with a graphical interface, custom agents, and advanced tools for secure, efficient, and autonomous AI development.

AI21 Labs screenshot thumbnail

AI21 Labs

Customizable, production-grade AI systems for enterprise, offering scalable, accurate, and reliable models with end-to-end security and flexible deployment options.

Humanloop screenshot thumbnail

Humanloop

Streamline Large Language Model development with collaborative workflows, evaluation tools, and customization options for efficient, reliable, and differentiated AI performance.

Metatext screenshot thumbnail

Metatext

Build and manage custom NLP models fine-tuned for your specific use case, automating workflows through text classification, tagging, and generation.

Numenta screenshot thumbnail

Numenta

Run large AI models on CPUs with peak performance, multi-tenancy, and seamless scaling, while maintaining full control over models and data.

Replicate screenshot thumbnail

Replicate

Run open-source machine learning models with one-line deployment, fine-tuning, and custom model support, scaling automatically to meet traffic demands.

Klu screenshot thumbnail

Klu

Streamline generative AI application development with collaborative prompt engineering, rapid iteration, and built-in analytics for optimized model fine-tuning.

Airtrain AI  screenshot thumbnail

Airtrain AI

Experiment with 27+ large language models, fine-tune on your data, and compare results without coding, reducing costs by up to 90%.

Hebbia screenshot thumbnail

Hebbia

Process millions of documents at once, with transparent and trustworthy AI results, to automate and accelerate document-based workflows.

LLMStack screenshot thumbnail

LLMStack

Build sophisticated AI applications by chaining multiple large language models, importing diverse data types, and leveraging no-code development.

Expert.ai screenshot thumbnail

Expert.ai

Automates business processes by extracting and enriching key information from unstructured documents with high accuracy and explainability across multiple languages.

Freeplay screenshot thumbnail

Freeplay

Streamline large language model product development with a unified platform for experimentation, testing, monitoring, and optimization, accelerating development velocity and improving quality.

Novita AI screenshot thumbnail

Novita AI

Access a suite of AI APIs for image, video, audio, and Large Language Model use cases, with model hosting and training options for diverse projects.

MonsterGPT screenshot thumbnail

MonsterGPT

Fine-tune and deploy large language models with a chat interface, simplifying the process and reducing technical setup requirements for developers.

Meta Llama screenshot thumbnail

Meta Llama

Accessible and responsible AI development with open-source language models for various tasks, including programming, translation, and dialogue generation.

Jina screenshot thumbnail

Jina

Boost search capabilities with AI-powered tools for multimodal data, including embeddings, rerankers, and prompt optimizers, supporting over 100 languages.

Vectorize screenshot thumbnail

Vectorize

Convert unstructured data into optimized vector search indexes for fast and accurate retrieval augmented generation (RAG) pipelines.