DeepTalks
Join the most-loved CTO out of New York, Deep Devjani as he digs into how businesses use AI, breaking down the AI scene and explaining how it works in simple terms. He delves into AI's intricacies, benefits, and challenges.
The Power of Small Language Models: Cost, Innovation, and Future Potential
In episode 2 of DeepTalks, Deepak Devjani introduces the concept of small language models (SLMs) and highlights their importance. He discusses the advantages of SLMs, focusing on cost, accuracy, and security. The conversation moves to the environmental and specialized performance benefits of SLMs, followed by innovations and developments in the field. Special attention is given to Apple's and OpenAI's contributions. The episode explores various applications and how SLMs complement larger models, concluding with insights into the future of SLMs. Closing remarks and a call to subscribe wrap up the episode.
Key Points
- Small Language Models (SLMs) are more cost-effective than large AI models, making them suitable for devices like smartphones and smart home systems.
- SLMs provide higher accuracy in their specialized fields, reducing the risk of errors and "hallucinations" commonly seen in larger models.
- SLMs are more secure and environmentally friendly, offering reduced risk of information leakage and lower energy consumption compared to large AI models.
Chapters
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Transcript
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