Unleashing the Power of Together Inference API: A Game-Changer for AI Enthusiasts

- Authors
- Published on
- Published on
In this riveting video from sentdex, we dive headfirst into the world of the Together Inference API, a technological marvel that promises speed, reliability, and a treasure trove of open-source models. The team at Together has crafted a platform that boasts a vast array of text generation, chat, image, and code-specific models, setting the stage for a thrilling AI showdown. As our host delves deeper into the intricacies of the API, it becomes evident that speed and efficiency are the name of the game, with the Together API outshining its competitors in the race for AI supremacy.
Setting up an account and obtaining a key are just the beginning of this adrenaline-fueled journey through the AI landscape. The Together Python package serves as a trusty sidekick, simplifying the process and paving the way for seamless model exploration. With new models constantly being added to the API, including the cutting-edge Mixol model, the possibilities seem endless. However, understanding the nuances of each model's prompt structure is key to unlocking their full potential, a task made easier with the help of the Together Playground.
As the video unfolds, we witness the sheer power and speed of the Together API in action, leaving local setups in the dust. The Find Code Llama model emerges as a standout contender, offering a lightning-fast and accurate alternative for Python code enthusiasts. Testing new models locally may be a time-consuming ordeal, but the Together API swoops in as a beacon of efficiency, allowing users to test and deploy models with unparalleled ease. With the Find model simplifying the implementation of the Term GPT project and providing an open-source oasis for AI enthusiasts, the stage is set for a thrilling AI adventure unlike any other.

Image copyright Youtube

Image copyright Youtube

Image copyright Youtube

Image copyright Youtube
Watch Open Source AI Inference API w/ Together on Youtube
Viewer Reactions for Open Source AI Inference API w/ Together
Expecting a farming video to drop at some point
Together AI API is well-engineered and faster than local inference
Support for open source is appreciated
Positive feedback on using Together AI with Langchain
Request for a model list endpoint for UIs and chat/instruct templates from Together AI
Suggestions for adding vision capability models
Comments on the presenter moving to a ranch to become a farmer
Request for finishing the Neural Network from Scratch series
Comparison between Together and Anyscale for model results
Curiosity about the Python notebook being used in the video
Related Articles

Unleashing Longnet: Revolutionizing Large Language Models
Explore the limitations of large language models due to context length constraints on sentdex. Discover Microsoft's longnet and its potential to revolutionize models with billion-token capacities. Uncover the challenges and promises of dilated attention in expanding context windows for improved model performance.

Revolutionizing Programming: Function Calling and AI Integration
Explore sentdex's latest update on groundbreaking function calling capabilities and API enhancements, revolutionizing programming with speed and intelligence integration. Learn how to define functions and parameters for optimal structured data extraction and seamless interactions with GPT-4.

Unleashing Falcon 40b: Practical Applications and Comparative Analysis
Explore the Falcon 40b instruct model by sentdex, a powerful large language model with 40 billion parameters. Discover its practical applications, use cases, and comparison to other models like GPT-3.5 and GPT-4. Unleash the potential of Falcon in natural language generation, math problem-solving, and understanding human emotions. Get insights on running the model locally, its licensing, and the AI team behind its development. Join the AI revolution with Falcon 40b instruct!

Revolutionizing Sentiment Analysis: KNN vs. Bert with Gzip Compression
Explore how a text classification method on sentdex challenges Bert in sentiment analysis using K nearest neighbors and gzip compression. Learn about the process, implementation, efficiency improvements, and promising results of this innovative approach.