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What is the best LLM for RAG systems? 🤔
What is the best LLM for RAG systems? 🤔
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In a business setting, it will be the one that gives the best performance at a great price! 💼💰
In a business setting, it will be the one that gives the best performance at a great price! 💼💰
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And maybe it should be easy to fine-tune, cheap to fine-tune... FREE to fine-tune? 😲✨
And maybe it should be easy to fine-tune, cheap to fine-tune... FREE to fine-tune? 😲✨
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That's 
That's 
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@Google
Google
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 Gemini 1.5 Flash! 🚀🌟
 Gemini 1.5 Flash! 🚀🌟
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It now supports fine-tuning, and the inference cost is the same as the base model! <coughs LORA adopters> 🤭🤖
It now supports fine-tuning, and the inference cost is the same as the base model! <coughs LORA adopters> 🤭🤖
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So the base model must be expensive? 💸
So the base model must be expensive? 💸
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For the base model, the input price is reduced by 78% to $0.075/1 million tokens and the output price by 71% to $0.3/1 million tokens. 📉💵
For the base model, the input price is reduced by 78% to $0.075/1 million tokens and the output price by 71% to $0.3/1 million tokens. 📉💵
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But is it any good? 🤷‍♂️
But is it any good? 🤷‍♂️
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On the LLM Hallucination Index, Gemini 1.5 Flash achieved great context adherence scores of 0.94, 1, and 0.92 across short, medium, and long contexts. 📊🎯
On the LLM Hallucination Index, Gemini 1.5 Flash achieved great context adherence scores of 0.94, 1, and 0.92 across short, medium, and long contexts. 📊🎯
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Google has finally given a model that is free to tune and offers an excellent balance between performance and cost. ⚖️👌
Google has finally given a model that is free to tune and offers an excellent balance between performance and cost. ⚖️👌
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Happy tuning... 🎶🔧
Happy tuning... 🎶🔧
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Gemini 1.5 Flash: 
Gemini 1.5 Flash: 
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https://developers.googleblog.com/en/gemini-15-flash-updates-google-ai-studio-gemini-api/
https://developers.googleblog.com/en/gemini-15-flash-updates-google-ai-studio-gemini-api/
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 🔗
 🔗
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LLM Hallucination Index: 
LLM Hallucination Index: 
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https://www.rungalileo.io/hallucinationindex
https://www.rungalileo.io/hallucinationindex
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 🔗
 🔗
What is the best LLM for RAG systems? 🤔

In a business setting, it will be the one that gives the best performance at a great price! 💼💰

And maybe it should be easy to fine-tune, cheap to fine-tune... FREE to fine-tune? 😲✨

That's @Google Gemini 1.5 Flash! 🚀🌟

It now supports fine-tuning, and the inference cost is the same as the base model! <coughs LORA adopters> 🤭🤖

So the base model must be expensive? 💸
For the base model, the input price is reduced by 78% to $0.075/1 million tokens and the output price by 71% to $0.3/1 million tokens. 📉💵

But is it any good? 🤷‍♂️
On the LLM Hallucination Index, Gemini 1.5 Flash achieved great context adherence scores of 0.94, 1, and 0.92 across short, medium, and long contexts. 📊🎯

Google has finally given a model that is free to tune and offers an excellent balance between performance and cost. ⚖️👌

Happy tuning... 🎶🔧

Gemini 1.5 Flash: https://developers.googleblog.com/en/gemini-15-flash-updates-google-ai-studio-gemini-api/ 🔗

LLM Hallucination Index: https://www.rungalileo.io/hallucinationindex 🔗
😎
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