Loading Pulze’s models

Overview

Our suite of AI models boasts an impressive array of capabilities, covering a wide range of language processing tasks. These models are sourced from leading AI research labs such as AI21 Labs, Anthropic, Cohere, OpenAI, and Replicate.

  • The Pulze series, our very own home-grown suite of AI models, are tailored to align with our clients’ specific needs. The Pulze-v0 particularly stands out for its capacity to identify and utilize the most suitable pre-existing model for any given prompt. These models are renowned for their rapid processing speed and hold a special place among our enterprise clientele.

  • AI21 Labs models cater to diverse needs. From the robust J2-Ultra, ideal for the most complex language tasks, to the efficient J2-Light designed for simpler, quicker responses.

  • AlephAlpha offers the Luminous model series. The Luminous-Supreme shines in creative text writing, the Luminous-Supreme-Control is optimized for tasks like information extraction and language simplification, the Luminous-Base-Control for tasks like classification and labeling, and the Luminous-Extended-Control further enhances this capability.

  • Anthropic’s Claude series shines in delivering sophisticated dialogue and creative content generation.

  • Cohere’s Command models are optimized for instruction-following conversational tasks.

  • OpenAI offers a line of GPT models, each fine-tuned for specific needs – the GPT-4 with its remarkable chat optimization, and the GPT-3.5 Turbo providing cost-effective solutions. The Text-Davinci and Text-Curie series also excel in comprehensive language tasks and are the best models under certain conditions.

  • Replicate makes it easy to run machine learning models in the cloud from your own code. We currently support some of their open-source models.

  • HuggingFace is the platform where the machine learning community collaborates on models, datasets, and applications.

  • MosaicML offers two standout models: The MPT-7B-Instruct with 6.7B parameters, trained on Databricks Dolly-15k and Anthropic datasets; and the larger MPT-30B-Instruct, boasting 30B parameters, expanded with datasets from CompetitionMath to Spider, both delivering a swift 5 RPS. Meanwhile, Meta introduces the Llama2-70B-Chat, a 70B parameter chat-optimized model with a 4096-token context, licensed under the LLAMA 2 Community License.

  • Finally, GooseAI’s GPT-J and GPT-Neo series serve as powerful open-source alternatives for a variety of use-cases.

Each model is specifically designed and tailored to perform at optimal levels, keeping in mind various factors such as task complexity, processing power, response speed, cost efficiency, and output quality.

Was this page helpful?