Do you want to know about three players that are dominating the LLM game?

These technologies will allow you build AI applications really fast without a big budget.

They're a good alternative to OpenAI options without losing too much quality.

After some research, I came across those tools that I want to share. I hope you save time on digging Internet and get benefits right away.

If you want to know how MistralAI, LangChainAI, and TogetherAI can help you build AI applications, read this article [some code included].

Remember to share it with others ♻️ That would help a lot ❤️

MistralAI's Mixtral 8x7B: A New Benchmark in LLMs

MistralAI has recently released a model that sets a new standard in the field of LLMs. The Mixtral 8x7B, despite having around 50B parameters, demonstrates astounding capabilities:

• Efficiency in Inference: It requires only a 13B model for inference, striking a balance between power and computational efficiency.

• Extended Context Length: With a context length of 32k tokens, it offers enhanced understanding and continuity in conversations.

• Speed and Performance: It outperforms Llama 2 70B with 6x faster inference and matches or beats GPT3.5.

• Multilingual Support: It supports multiple languages including English, French, German, Spanish, and Italian.

• Instruct Model Scores: Scoring 8.3 on MT-Bench, it excels in understanding and following instructions.

• Coding Prowess: It shines in coding tasks, with a 40.2% score on HumanEval, showcasing its utility in technical domains.

TogetherAI: Revolutionizing LLM Serving

Serving such powerful LLMs efficiently has been made possible by TogetherAI.

Their offering is not only performance-oriented but also cost-effective:

• Cost-to-Performance Ratio: TogetherAI offers the Mixtral 8x7B model at an unbeatable price of $0.6 per 1M tokens.

• Focus on Optimization: “We obsess over system optimization and scaling so you don’t have to. As your application grows, capacity is automatically added to meet your API request volume.” This philosophy underscores their commitment to seamless scalability.

• Inference Engine Speed: The Together Inference Engine ranks among the fastest available today, crucial for real-time applications.

• Ease of Access: Upon signing up, TogetherAI provides $25 in free credits, allowing users to explore a variety of models in their playground.

Getting Started with TogetherAI

Integrating TogetherAI into your workflow is straightforward.

Creating Your File

Choose between a .py file or a .ipynb file, depending on your preference for script or interactive execution.

Easy Transition from OpenAI

For those already using OpenAI, the shift is minimal.

You only need to update your API key, change the base URL, and switch the model name.

Harnessing the Power of LangChain

LangChainAI takes the capabilities of LLMs a step further by enabling the creation of LLM chains.

This approach allows for more complex and nuanced interactions with models.

Conclusion

The integration of MistralAI, TogetherAI, and LangChainAI into the realm of Large Language Models (LLMs) signifies a pivotal shift in how we interact with, build, and serve AI technologies.

These three platforms, each with their unique strengths, collectively open a new frontier for innovation and efficiency.

• MistralAI's Mixtral 8x7B: A beacon of efficiency and power, it redefines what is possible with LLMs, especially in terms of inference efficiency, language support, and performance in both general and coding-specific tasks.

• TogetherAI's Service Model: It stands as a testament to cost-effectiveness and performance optimization, ensuring that even the most advanced models are accessible and scalable for a wide range of applications.

• LangChain's Versatility: The concept of chaining LLMs allows for more nuanced and advanced applications that were previously unthinkable.

As we stand at the cusp of this AI revolution, it's essential to recognize the immense potential these technologies hold.

The future is ripe with possibilities, and these platforms are just the beginning.

Let your imagination and creativity guide you as you explore the uncharted territories of LLMs.

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