๐๐ก๐๐ง ๐ญ๐จ ๐๐ฌ๐ ๐๐ฅ๐๐ฆ๐๐ ๐๐๐ ๐ฏ๐ฌ ๐๐: ๐ ๐๐ฎ๐ข๐๐ค ๐๐ฎ๐ข๐๐ ๐ญ๐จ ๐๐ฆ๐๐ฅ๐ฅ ๐๐๐ง๐ ๐ฎ๐๐ ๐ ๐๐จ๐๐๐ฅ ๐๐ง๐ ๐๐๐ซ๐ ๐ ๐๐๐ง๐ ๐ฎ๐๐ ๐ ๐๐จ๐๐๐ฅ๐ฌ ๐ฆ While weโre still waiting for the arrival of Llama3 400B, open source community agrees 70B and 8B versions are powerful models, but each has its ideal use cases. Below some tips ๐ ๐๐ฅ๐๐ฆ๐๐ ๐๐๐: ๐๐ก๐๐ง ๐ญ๐จ ๐๐ฌ๐ ๐๐ญ ๐ธComplex Tasks: If your application involves understanding nuanced language, generating detailed content, or performing complex analysis, the 70B modelโs larger capacity can handle it better. ๐ง ๐ธHigh Accuracy: For tasks where accuracy and precision are paramount, like medical research, legal analysis, or high-stakes decision-making, the 70B model provides a deeper understanding and more reliable outputs. ๐ฏ ๐ธLarge-Scale Deployments: When you have the computational resources to support it and need to serve large user bases with diverse queries, the 70B model can manage high volumes while maintaining quality. ๐ ๐ธAdvanced AI Research: For cutting-edge AI research and development, where pushing the boundaries of whatโs possible is the goal, the 70B model offers more capabilities. ๐ฌ ๐๐ฅ๐๐ฆ๐๐ ๐๐: ๐๐ก๐๐ง ๐ญ๐จ ๐๐ฌ๐ ๐๐ญ ๐ธSpeed and Efficiency: If you need quick responses with lower computational costs, the 8B model is more efficient and faster. Ideal for real-time applications like chatbots or interactive systems. ๐ ๐ธResource Constraints: When working with limited hardware or budget, the 8B model is more cost-effective and requires fewer resources. Perfect for startups and smaller projects. ๐ก ๐ธLess Complex Tasks: For straightforward tasks such as simple text generation, summarization, or moderate-level question answering, the 8B model is sufficient and performs well. ๐ ๐ธTesting and Prototyping: When developing new applications and needing to iterate quickly, the 8B model allows for faster experimentation and prototyping without heavy computational demands. โ๏ธ Choose wisely based on your specific needs, use cases and resources to get the best out of these powerful LLMs. Wondering how wooly 400B will beโฆ. #AI #Llama3 #ML #GenAI #LLM
Sorin Gatea
1w
all waiting for the 1 trillion beast
Super cool way to explain difference ๐น๐ฅณ
Rahul K.
5d
Well, it does the job of being a llama ๐
Ashok kumar
1w
It is "weights" reduced ๐
Love this ๐ ๐คฃ
๐คญ๐คญ๐คญ
David Fernรกndez Ortega
Founder/CEO at NeuML
1wI didn't even read the post, just laughing at the situation here. Sometimes the video is too funny and the message is lost. ๐