News
Apr 2, 2024
🎉 Exciting News: Mistral AI Models Now Integrated with Botstacks!
🤖We’re thrilled to announce that you can now use Mistral AI models in BotStacks without a Mistral API key.
Meet the Mistral Models:
Mistral Small:
A cost-efficient reasoning model designed for low-latency workloads.
Mistral Medium:
Ranks second among all LLMs according to human preferences in the LMSys Chatbot Arena.
Strikes a balance between performance and complexity.
Mistral 7b:
Outperforms the previous best 13B model (Llama 2) across all tested benchmarks and surpasses the best 34B model (LLaMa 34B) in mathematics and code generation.
Mistral Large:
Provides top-tier reasoning capabilities and is suitable for high-complexity tasks. It’s the second-ranked model available through an API, just behind GPT-4.
Mistral 8x7B:
Mixtral-8x7B outperforms Llama 2 70B on most benchmarks, achieving 6x faster inference.
With 85B parameters, it sets the highest bar in performance-cost efficiency, making it a powerful choice for your most demanding chatbot applications.
Why Choose Mistral?
✅ Frontier performance: Unbeatable latency-to-performance ratio.
✅ Larger Context Window: Mistral models process larger context windows, helping the model process and generate text based on a larger user input.
✅ Budget-Friendly: Mistral models provide excellent performance at an unmatched price/performance point. Outstanding performance without breaking the bank.💰
How to Integrate Mistral into Your Botstacks Chatbots:
Log in to your 🤖Botstacks account.
Open your desired Bot Stack.
Choose your preferred Mistral model in the LLM Node settings panel.
Test and optimize your chatbot’s performance in the Sandbox.
By combining Mistral AI with Botstacks, you’ll create chatbots that are smarter, more engaging, and highly personalized. Get ready to level up your conversational AI game! 🤖✨
🔍 Pro Tips:
Check out the BotStacks guide on effective prompts for Mistral models to get the best results.
Take a look at the AWS Community guide “How to Prompt Minstral Models, and Why.”
The integration of Mistral AI models into Botstacks marks a major milestone in our continued commitment to equipping developers and businesses with cutting-edge AI technology for advanced conversational AI applications. 🤖🚀✨
🤖We’re thrilled to announce that you can now use Mistral AI models in BotStacks without a Mistral API key.
Meet the Mistral Models:
Mistral Small:
A cost-efficient reasoning model designed for low-latency workloads.
Mistral Medium:
Ranks second among all LLMs according to human preferences in the LMSys Chatbot Arena.
Strikes a balance between performance and complexity.
Mistral 7b:
Outperforms the previous best 13B model (Llama 2) across all tested benchmarks and surpasses the best 34B model (LLaMa 34B) in mathematics and code generation.
Mistral Large:
Provides top-tier reasoning capabilities and is suitable for high-complexity tasks. It’s the second-ranked model available through an API, just behind GPT-4.
Mistral 8x7B:
Mixtral-8x7B outperforms Llama 2 70B on most benchmarks, achieving 6x faster inference.
With 85B parameters, it sets the highest bar in performance-cost efficiency, making it a powerful choice for your most demanding chatbot applications.
Why Choose Mistral?
✅ Frontier performance: Unbeatable latency-to-performance ratio.
✅ Larger Context Window: Mistral models process larger context windows, helping the model process and generate text based on a larger user input.
✅ Budget-Friendly: Mistral models provide excellent performance at an unmatched price/performance point. Outstanding performance without breaking the bank.💰
How to Integrate Mistral into Your Botstacks Chatbots:
Log in to your 🤖Botstacks account.
Open your desired Bot Stack.
Choose your preferred Mistral model in the LLM Node settings panel.
Test and optimize your chatbot’s performance in the Sandbox.
By combining Mistral AI with Botstacks, you’ll create chatbots that are smarter, more engaging, and highly personalized. Get ready to level up your conversational AI game! 🤖✨
🔍 Pro Tips:
Check out the BotStacks guide on effective prompts for Mistral models to get the best results.
Take a look at the AWS Community guide “How to Prompt Minstral Models, and Why.”
The integration of Mistral AI models into Botstacks marks a major milestone in our continued commitment to equipping developers and businesses with cutting-edge AI technology for advanced conversational AI applications. 🤖🚀✨
🤖We’re thrilled to announce that you can now use Mistral AI models in BotStacks without a Mistral API key.
Meet the Mistral Models:
Mistral Small:
A cost-efficient reasoning model designed for low-latency workloads.
Mistral Medium:
Ranks second among all LLMs according to human preferences in the LMSys Chatbot Arena.
Strikes a balance between performance and complexity.
Mistral 7b:
Outperforms the previous best 13B model (Llama 2) across all tested benchmarks and surpasses the best 34B model (LLaMa 34B) in mathematics and code generation.
Mistral Large:
Provides top-tier reasoning capabilities and is suitable for high-complexity tasks. It’s the second-ranked model available through an API, just behind GPT-4.
Mistral 8x7B:
Mixtral-8x7B outperforms Llama 2 70B on most benchmarks, achieving 6x faster inference.
With 85B parameters, it sets the highest bar in performance-cost efficiency, making it a powerful choice for your most demanding chatbot applications.
Why Choose Mistral?
✅ Frontier performance: Unbeatable latency-to-performance ratio.
✅ Larger Context Window: Mistral models process larger context windows, helping the model process and generate text based on a larger user input.
✅ Budget-Friendly: Mistral models provide excellent performance at an unmatched price/performance point. Outstanding performance without breaking the bank.💰
How to Integrate Mistral into Your Botstacks Chatbots:
Log in to your 🤖Botstacks account.
Open your desired Bot Stack.
Choose your preferred Mistral model in the LLM Node settings panel.
Test and optimize your chatbot’s performance in the Sandbox.
By combining Mistral AI with Botstacks, you’ll create chatbots that are smarter, more engaging, and highly personalized. Get ready to level up your conversational AI game! 🤖✨
🔍 Pro Tips:
Check out the BotStacks guide on effective prompts for Mistral models to get the best results.
Take a look at the AWS Community guide “How to Prompt Minstral Models, and Why.”
The integration of Mistral AI models into Botstacks marks a major milestone in our continued commitment to equipping developers and businesses with cutting-edge AI technology for advanced conversational AI applications. 🤖🚀✨
🤖We’re thrilled to announce that you can now use Mistral AI models in BotStacks without a Mistral API key.
Meet the Mistral Models:
Mistral Small:
A cost-efficient reasoning model designed for low-latency workloads.
Mistral Medium:
Ranks second among all LLMs according to human preferences in the LMSys Chatbot Arena.
Strikes a balance between performance and complexity.
Mistral 7b:
Outperforms the previous best 13B model (Llama 2) across all tested benchmarks and surpasses the best 34B model (LLaMa 34B) in mathematics and code generation.
Mistral Large:
Provides top-tier reasoning capabilities and is suitable for high-complexity tasks. It’s the second-ranked model available through an API, just behind GPT-4.
Mistral 8x7B:
Mixtral-8x7B outperforms Llama 2 70B on most benchmarks, achieving 6x faster inference.
With 85B parameters, it sets the highest bar in performance-cost efficiency, making it a powerful choice for your most demanding chatbot applications.
Why Choose Mistral?
✅ Frontier performance: Unbeatable latency-to-performance ratio.
✅ Larger Context Window: Mistral models process larger context windows, helping the model process and generate text based on a larger user input.
✅ Budget-Friendly: Mistral models provide excellent performance at an unmatched price/performance point. Outstanding performance without breaking the bank.💰
How to Integrate Mistral into Your Botstacks Chatbots:
Log in to your 🤖Botstacks account.
Open your desired Bot Stack.
Choose your preferred Mistral model in the LLM Node settings panel.
Test and optimize your chatbot’s performance in the Sandbox.
By combining Mistral AI with Botstacks, you’ll create chatbots that are smarter, more engaging, and highly personalized. Get ready to level up your conversational AI game! 🤖✨
🔍 Pro Tips:
Check out the BotStacks guide on effective prompts for Mistral models to get the best results.
Take a look at the AWS Community guide “How to Prompt Minstral Models, and Why.”
The integration of Mistral AI models into Botstacks marks a major milestone in our continued commitment to equipping developers and businesses with cutting-edge AI technology for advanced conversational AI applications. 🤖🚀✨
