LLM models

Showing 26–50 of 57 results

Liquid AI

(52)
A set of powerful generative AI models called LFM. Get superior performance to traditional large language models, while using less memory and computing resources

Llama 3.2

(4)
A new generation of AI language models from Meta, including lightweight and multimodal versions. Create AI applications on mobile, analyze images and text, all with open and customizable models.

LM Studio

(52)
Run language models (LLMs) easily on your device, without an Internet connection. Preserve your confidentiality and secure your data

MGIE by Apple

(52)
A MLLMs model (multimodal model) capable of modifying any image with reference to a prompt

Miqu-1-70b

(52)
An open-source LLM model trained on Llama 2 data, outperforming most current models and approaching GPT-4

Mistral Large 2

(52)
A high-performance AI model, capable of complex reasoning in several languages. Impressive results, close to GPT-4

Mistral-medium

(52)
One of the most powerful open-source LLM models available today. Currently, the model is only available via an API

Mistral-Next

(52)
An LLM model that looks very promising ( not much information yet). You can test it directly on the Chatbot Arena platform.

Mixtral 8x22B

(52)
An open source LLM model (under Apache 2.0 license) that delivers top-level performance. Accessible and affordable API

Nemotron-70B

(52)
A high-performance AI language model customized by NVIDIA. Benefit from more useful and accurate answers for your text, code and chat generation tasks. Optimized integration for NVIDIA hardware

NVIDIA NIM APIs

(52)
Explore and integrate advanced AI models into your applications easily. Benefit from optimized performance and a wide range of capabilities for your projects

Ollama

(52)
Chat with local LLM language models like Llama2, Mixtral or Code Llama. Compatible with macOS, Linux and soon Windows

OpenAI o1

(3)
This new AI model from OpenAI has been reinforcement-trained for complex reasoning. It can think internally before answering you. It outperforms humans in some difficult tests.

OpenELM by Apple

(52)
Powerful open-source LLM models designed by Apple directly on your devices, without the cloud. Trained with evolutionary algorithms for maximum accuracy

OpenRouter

(652)
OpenRouter: The Unified Interface for LLMs. OpenRouter: The Unified Interface for LLMs Reviews | Promo Codes | Pros & Cons.

Opus by Anthropic

(4)
An LLM model with super-powerful capabilities, capable of performing all kinds of tasks with a high performance score. Available with Claude 3

Pinokio

(52)
Install a large number of AIs on your local PC in just one click: Stable Diffusion, Llama 2, AudioLDM 2, LDM 3D, Audiocraft, ComfyUI, etc.

Playground OpenAI

(3)
Take full advantage of OpenAI's GPT templates. Choose the one that's right for you and take advantage of their APIs.

Private LLM

(52)
Easily build your own AI ChatBot. Get an assistant who can answer your questions even without an Internet connection

Qwen 1.5

(52)
A high-performance LLM model that rivals the best open-source models currently available

Qwen-VL-Plus

(52)
A multimodal LLM model capable of analyzing images and interpreting them with great precision

Qwen2-Math

(52)
An AI model specialized in mathematics, with advanced reasoning capabilities and the ability to solve complex problems. Soon to be bilingual (English-Chinese)

Reka Core

(52)
A multimodal model that rivals GPT-4 and Claude 3 in terms of performance. It includes images, video and sound. It can reason, code and speak 32 languages

Reka Flash

(52)
A high-performance, multilingual multimodal language model with 21B parameters. Available in public beta on Reka Playground

Sam2 by Meta

(52)
An open-source model created by Meta AI that lets you segment any object in an image or video. Simply point and click on an element to create a precise mask

Online Sports Nutrition and Natural Dietetics.

Chances are there wasn't collaboration, communication, and checkpoints, there wasn't a process agreed upon or specified with the granularity required. It's content strategy gone awry right from the start. Forswearing the use of Lorem Ipsum wouldn't have helped, won't help now. It's like saying you're a bad designer, use less bold text, don't use italics in every other paragraph. True enough, but that's not all that it takes to get things back on track.

The villagers are out there with a vengeance to get that Frankenstein

You made all the required mock ups for commissioned layout, got all the approvals, built a tested code base or had them built, you decided on a content management system, got a license for it or adapted:

  • The toppings you may chose for that TV dinner pizza slice when you forgot to shop for foods, the paint you may slap on your face to impress the new boss is your business.
  • But what about your daily bread? Design comps, layouts, wireframes—will your clients accept that you go about things the facile way?
  • Authorities in our business will tell in no uncertain terms that Lorem Ipsum is that huge, huge no no to forswear forever.
  • Not so fast, I'd say, there are some redeeming factors in favor of greeking text, as its use is merely the symptom of a worse problem to take into consideration.
  • Websites in professional use templating systems.
  • Commercial publishing platforms and content management systems ensure that you can show different text, different data using the same template.
  • When it's about controlling hundreds of articles, product pages for web shops, or user profiles in social networks, all of them potentially with different sizes, formats, rules for differing elements things can break, designs agreed upon can have unintended consequences and look much different than expected.

This is quite a problem to solve, but just doing without greeking text won't fix it. Using test items of real content and data in designs will help, but there's no guarantee that every oddity will be found and corrected. Do you want to be sure? Then a prototype or beta site with real content published from the real CMS is needed—but you’re not going that far until you go through an initial design cycle.