AI MODEL

Large Language Models (LLMs) - Text Generation & Understanding

• GPT-4 (OpenAI): https://openai.com/gpt-4 - Currently one of the most powerful and versatile LLMs.

• Gemini 1.5 Pro (Google): https://ai.google.dev/gemini-api - Google's latest flagship LLM, known for its long context window.

• Claude 3 Opus (Anthropic): https://www.anthropic.com/claude-3-family - A strong competitor to GPT-4, emphasizing safety and reasoning.

• Llama 3 (Meta): https://ai.meta.com/llama/ - Meta's open-source LLM, gaining popularity for its performance and accessibility.

• Mistral 7B (Mistral AI): https://mistral.ai/news/mistral-7b/ - A high-performing, compact open-source LLM.

• Mixtral 8x7B (Mistral AI): https://mistral.ai/news/mixtral-8x7b/ - A sparse mixture-of-experts model from Mistral, offering a good balance of performance and efficiency.

• PaLM 2 (Google): https://ai.google.dev/palm2 - Google's previous generation LLM, still widely used.

• Bloom (BigScience): https://bigscience.huggingface.co/bloom - A large, multilingual open-source LLM.

• Falcon (Technology Innovation Institute): https://falconllm.tii.ae/ - Another strong open-source LLM option.

• OPT (Meta): https://ai.meta.com/research/publications/open-pre-trained-transformer-language-models/ - Meta's earlier open-source LLM.

• Cohere Command (Cohere): https://cohere.com/command - A commercially available LLM focused on enterprise applications.

• Inflection-2.5 (Inflection AI): https://www.inflection.ai/ - Powers the Pi chatbot.

• Grok-1 (xAI): https://x.com/xai - Elon Musk's LLM, integrated with X (formerly Twitter).

• Qwen (Alibaba): https://qwen.alicloud.com/ - A series of LLMs from Alibaba.

• Yi (01.AI): https://www.01.ai/ - Open-source LLMs from 01.AI.

Image Generation

• DALL-E 3 (OpenAI): https://openai.com/dall-e-3 - Creates realistic and creative images from text prompts.

• Stable Diffusion XL (SDXL) (Stability AI): https://stability.ai/stablediffusionxl - A powerful open-source image generation model.

• Midjourney: https://www.midjourney.com/ - Popular for its artistic and surreal image generation.

• Imagen 2 (Google): https://imagen.research.google/ - Google's image generation model.

• DeepFloyd IF (Stability AI): https://stability.ai/deepfloyd-if - Another image generation model from Stability AI.

• Kandinsky (Sber AI): https://kandinsky.ai/ - An open-source image generation model.

Speech & Audio

• Whisper (OpenAI): https://openai.com/whisper - Accurate speech-to-text transcription.

• VALL-E (Microsoft): https://valle-demo.github.io/ - Realistic text-to-speech synthesis.

• Bark (Suno AI): https://github.com/suno-ai/bark - Open-source text-to-speech with expressive capabilities.

• MusicLM (Google): https://musiclm.google.com/ - Generates music from text descriptions.

• Jukebox (OpenAI): https://openai.com/research/jukebox - Generates music in various styles.

Code Generation

• Code Llama (Meta): https://ai.meta.com/blog/code-llama-large-language-model-coding/ - Specialized LLM for code generation.

• StarCoder (BigCode): https://bigcode.dev/starcoder - Open-source code generation model.

• DeepSeek Coder (DeepSeek AI): https://www.deepseek.ai/deepseek-coder - Another strong code generation model.

Computer Vision

• Segment Anything Model (SAM) (Meta): https://segment-anything.com/ - For image segmentation.

• ControlNet (Stability AI): https://github.com/lllyasviel/ControlNet - Adds control to image generation models like Stable Diffusion.

Important Considerations:

• Open Source vs. Closed Source: Open-source models offer more transparency and customization, while closed-source models often have better performance (but less control).

• Licensing: Always check the license before using any model, especially for commercial purposes.

• Model Size & Resources: Larger models generally require more computational resources (GPU, memory).

• Rapid Evolution: The AI field is moving incredibly fast. New models and improvements are released constantly.