Types of AI Models
Learn about the many types of AI models that MindStudio offers.
Overview
MindStudio is a model agnostic platform. This means that you can utilize a variety of AI models that fit your particular use case. Below lists MindStudio's currently supported AI models.
GPT-3.5
GPT-3.5 is known for its advanced language generation and understanding capabilities.
It excels in creating coherent, contextually relevant text, and is adept at a wide range of language tasks including conversation, content creation, and problem-solving.
GPT-3.5 Instruct
This variant of GPT-3.5 is specifically tuned to follow instructions more effectively and is designed to better understand and adhere to user Prompts, making it more suitable for applications where precise and instruction-following responses were necessary.
Although this model has demonstrated improved performance in understanding and executing specific tasks, it still encounters limitations in understanding highly complex or nuanced instructions.
GPT 4
GPT-4 is an advanced language model known for its increased capacity compared to its predecessors, offering more nuanced and accurate text generation. It boasts improved understanding and generation abilities, making it more effective in understanding context, generating human-like text, and providing more accurate and contextually relevant responses.
GPT 4 Turbo
GPT-4-Turbo is a variant of the GPT-4 model, designed to offer faster response times while maintaining the sophisticated language understanding and generation capabilities of GPT-4.
This model is particularly suited for applications that require both high-quality language processing and quick response times, making it ideal for interactive applications like chatbots or real-time content generation.
GPT 4 Turbo responds well to Chain-of-Thought (CoT) Prompt writing.
GPT 4o
GPT-4o (“o” for “omni”) is a step towards much more natural human-computer interaction—it accepts as input any combination of text, audio, and image and generates any combination of text, audio, and image outputs. It can respond to audio inputs in as little as 232 milliseconds, with an average of 320 milliseconds, which is similar to human response time(opens in a new window) in a conversation. It matches GPT-4 Turbo performance on text in English and code, with significant improvement on text in non-English languages, while also being much faster and 50% cheaper in the API. GPT-4o is especially better at vision and audio understanding compared to existing models.
DALL-E 2
The 2nd iteration of the DALL·E image model with more realistic, accurate, and 4x greater resolution images than the original model.
DALL-E 3
DALL-E 3 is the SOTA model for image generation by OpenAI. OpenAI has robust training data policies, offers DALL-E 3 via API, and follows prompts to the letter.
Open AI TTS
TTS is an AI model that converts text to natural sounding spoken text. We offer two different model variates, tts-1 is optimized for real time text to speech use cases and tts-1-hd is optimized for quality.
Claude-Instant
Claude-Instant is a language model designed for rapid response generation while maintaining a high level of language understanding. It is optimized for speed and efficiency, making it suitable for applications where fast interaction is crucial, such as in conversational AI or real-time language processing systems.
Claude V2
Claude-2 is an advanced version in the Claude series of language models. It is characterized by improved language understanding and generation capabilities compared to its predecessors, including Claude-Instant.
This model is designed to provide more accurate, nuanced, and contextually aware responses, suitable for a wide range of advanced language processing tasks, including more complex conversation handling, content creation, and information synthesis.
Claude 3 Haiku
Claude 3 Haiku is the fastest and most affordable model in the Claude family. With state-of-the-art vision capabilities and strong performance on industry benchmarks, Haiku is a versatile solution for a wide range of enterprise applications.
Speed is essential for our enterprise users who need to quickly analyze large datasets and generate timely output for tasks like customer support. Claude 3 Haiku is three times faster than its peers for the vast majority of workloads, processing 21K tokens (about 30 pages) per second for Prompts under 32K tokens. It also generates swift output, enabling responsive, engaging chat experiences and the execution of many small tasks in tandem.
Claude 3 Opus
Claude 3 Opus is the most intelligent model, with best-in-market performance on highly complex tasks. It can navigate open-ended Prompts and sight-unseen scenarios with remarkable fluency and human-like understanding. Opus shows us the outer limits of what’s possible with generative AI.
Claude 3 Opus responds well to Chain-of-Thought (CoT) Prompt writing.
Claude 3 Sonnet
Claude 3 Sonnet strikes the ideal balance between intelligence and speed—particularly for enterprise workloads. It delivers strong performance at a lower cost compared to its peers, and is engineered for high endurance in large-scale AI deployments.
Mistral 7B Instruct
Mistral-7B-Instruct is a language model with a focus on instruction-based tasks. With 7 billion parameters, it is designed to understand and execute user instructions efficiently.
This model is particularly effective in scenarios where clear and concise responses are required, adhering closely to the given instructions. It is useful in a variety of applications, including conversational AI, content summarization, and task-oriented dialogue systems.
Mixtral 8x7B Instruct
Mixtral 8x7B is a high-quality sparse mixture of experts (SMoE) model with open weights. Licensed under Apache 2.0, Mixtral outperforms Llama 2 70B on most benchmarks with 6x faster inference.
It is the strongest open-weight model with a permissive license and the best model overall regarding cost/performance trade-offs. In particular, it matches or outperforms GPT-3.5 on most standard benchmarks.
Mixtral 8x22b
Mixtral 8x22B sets a new standard for performance and efficiency within the AI community. It is a sparse Mixture-of-Experts (SMoE) model that uses only 39B active parameters out of 141B, offering unparalleled cost efficiency for its size.
Code Llama
This model is a specialized version within the LLaMA series, focusing on code-related tasks. With 34 billion parameters and an instructive design, it is tailored to understand and generate programming code, assist in debugging, and provide coding-related guidance. Its “instruct” nature means it is tuned to follow specific user commands more accurately, making it ideal for applications in software development and coding education.
Llama 2 13B Chat
This is a variant of the Language Model for Many Applications (LLaMA) series, with a size of 13 billion parameters. It is designed to be a versatile language model capable of handling a wide range of tasks.
The 13B model offers a balance between computational efficiency, advanced language understanding and generation capabilities, suitable for applications requiring detailed and nuanced language processing.
Llama 2 70B Chat
The LLaMA-2-70B model features 70 billion parameters. This model provides more depth and complexity in language understanding and generation compared to the 13B version.
This model is well-suited for tasks that require high-level language comprehension, complex problem-solving, and sophisticated content creation.
Llama 3 8b Instruct
The new 8B and 70B parameter Llama 3 models are a major leap over Llama 2 and establish a new state-of-the-art for LLM models at those scales. Thanks to improvements in pretraining and post-training, our pretrained and instruction-fine-tuned models are the best models existing today at the 8B and 70B parameter scale. Improvements in our post-training procedures substantially reduced false refusal rates, improved alignment, and increased diversity in model responses. We also saw greatly improved capabilities like reasoning, code generation, and instruction following making Llama 3 more steerable.
Llama 3 70b Instruct
The new 8B and 70B parameter Llama 3 models are a major leap over Llama 2 and establish a new state-of-the-art for LLM models at those scales. Thanks to improvements in pretraining and post-training, our pretrained and instruction-fine-tuned models are the best models existing today at the 8B and 70B parameter scale. Improvements in our post-training procedures substantially reduced false refusal rates, improved alignment, and increased diversity in model responses. We also saw greatly improved capabilities like reasoning, code generation, and instruction following making Llama 3 more steerable.
Gemini 1.5 Flash
Multimodal model that is designed for high volume, cost-effective applications. Gemini 1.5 Flash delivers speed and efficiency to build fast, lower-cost applications that don't compromise on quality.
Gemini Pro 1.5
Gemini 1.5 Pro is a foundation model that performs well at a variety of multimodal tasks such as visual understanding, classification, summarization, and creating content from image, audio and video. It's adept at processing visual and text inputs such as photographs, documents, infographics, and screenshots.
Gemini Pro
Gemini is a family of generative AI models that lets developers generate content and solve problems. These models are designed and trained to handle both text and images as input.
PaLM 2
Pathways Language Model-2 (PaLM-2) is recognized for its advanced natural language understanding and generation capabilities. Leveraging Google’s Pathways AI architecture, PaLM-2 is designed to handle a wide array of complex language tasks with high efficiency and accuracy.
It excels in contextual understanding, conversation, and creative content generation, making it a versatile tool for various AI-driven applications.
Sonar Large Chat
Llama3 Sonar is Perplexity's latest model family. It surpasses their earlier Sonar models in cost-efficiency, speed, and performance.
Sonar Large Online
Llama3 Sonar is Perplexity's latest model family. It surpasses their earlier Sonar models in cost-efficiency, speed, and performance.
Sonar Small Chat
Llama3 Sonar is Perplexity's latest model family. It surpasses their earlier Sonar models in cost-efficiency, speed, and performance.
Sonar Small Online
Llama3 Sonar is Perplexity's latest model family. It surpasses their earlier Sonar models in cost-efficiency, speed, and performance.
Command R
Command R is an instruction-following conversational model that performs language tasks at a higher quality, more reliably, and with a longer context than previous models. It can be used for complex workflows like code generation, retrieval augmented generation (RAG), tool use, and agents.
Command R+
Command R+ is an instruction-following conversational model that performs language tasks at a higher quality, more reliably, and with a longer context than previous models. It is best suited for complex RAG workflows and multi-step tool use.
Reka Edge
Reka Edge is a dense multi-modal model with a 7B parameter. Reka's evaluation shows that this models is state-of-the-art for its compute class, often surpassing models much larger.
Reka Flash
Reka Flash is a dense multi-modal model with a 21B parameter, respectively. Reka's evaluation shows that this models is state-of-the-art for its compute class, often surpassing models much larger.
Reka Core
Reka Core is a multi-modal model that approaches many of the best frontier models (OpenAI, 2023; Google, 2023; Google et al., 2023; Anthropic, 2024). It excels in both automated base model evaluations and blind third-party human evaluations.
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