Phi-3.5-vision

An advanced multimodal model that supports image and text understanding.

CommonProductProgrammingMultimodalImage Understanding

Phi-3.5-vision is a lightweight, next-generation multimodal model developed by Microsoft. It is built on a dataset that includes synthetic data and curated publicly available websites, focusing on high-quality, dense reasoning data for both text and visual inputs. This model belongs to the Phi-3 family and has undergone rigorous enhancement processes, combining supervised fine-tuning with direct preference optimization to ensure precise instruction following and robust safety measures.

Best AI Websites & Tools

Phi-3.5-vision

Phi-3.5-vision Visit Over Time

Phi-3.5-vision Visit Trend

Phi-3.5-vision Visit Geography

Phi-3.5-vision Traffic Sources

Phi-3.5-vision Alternatives

PaliGemma — Google's cutting-edge open-source vision-language model

Pixtral-12B-2409 — A multimodal model with 12 billion parameters, integrating a visual encoder for image and text processing.

Pixtral 12B — The first multimodal Mistral model, supporting hybrid task processing for images and text.

pixtral-12b-240910 — A multimodal large language model that supports understanding of both images and text.

West Lake AI Model — A multimodal model with high emotional and intellectual intelligence

OLMoE-1B-7B — An efficient open-source large language model.

MiniCPM3-4B — High-performance third-generation MiniCPM series model.

mPLUG-Owl3 — A multimodal large language model that understands long image sequences.

MedTrinity-25M — A large-scale multimodal medical dataset

MiniCPM-V 2.6 — High-performance multimodal language model suitable for image and video understanding.

Gemma 2 2B — Lightweight, advanced 2B parameter text generation model.

Gemma-2-27b — A lightweight, advanced open-weights text generation model

AutoCoder — A new model for code generation tasks, achieving a higher test accuracy than GPT-4 Turbo.

CogVLM2 — Second-generation multimodal pre-trained dialogue model

Falcon 2 — Falcon 2 is an open-source, multilingual, and multimodal model with image-to-text conversion capabilities.

Gemini 1.5 Flash — A lightweight and high-performance AI model from Google, designed for large-scale, high-frequency tasks.

Fugaku-LLM — Fugaku-LLM is an AI model specializing in text generation.

kan-gpt — A pre-trained generative transformer (GPT) language model implemented using Kolmogorov-Arnold networks (KANs).

Workers AI LLM Playground — Explore different text generation models to enhance the experience through drafting messages and fine-tuning responses.

GenAI Courses — AI Learning Platform

idefics-80b — A general-purpose multimodal model that can be used for question answering, image description and other tasks.

Grok-1.5 Vision Preview — The world's first multimodal model connecting the digital and physical worlds

MiniGemini — A multimodal large language model capable of understanding and generating images

MNBVC — MNBVC is a massive Chinese corpus comparable to the 40T data used to train ChatGPT.

TinyGPT-V — Efficient multimodal large language model

ml-ferret — End-to-end MLLM, enabling precise referencing and localization.

AIrticle flow — AI-powered Content Creation

FlyCode — Utilize AI to optimize subscription revenue and reduce customer churn.

DeepLearning.AI — A platform offering professional courses and resources in the field of AI.