Self-attention can be big for TinyML applications - TechTalks

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Can GPT-3 be honest when it speaks nonsense? – TechTalks https://bdtechtalks.com/2022/09/05/llm-uncertainty-verbalized-probability/ 3 comments
How the “bigger is better” mentality damages AI research – TechTalks https://bdtechtalks.com/2019/11/25/ai-research-neural-networks-compute-costs/ 3 comments
Industrial computer vision is getting ready for growth – TechTalks https://bdtechtalks.com/2021/11/12/industrial-computer-vision-landing-ai/ 2 comments
Reinforcement learning models are prone to membership inference attacks – TechTalks https://bdtechtalks.com/2022/08/15/reinforcement-learning-membership-inference-attacks/ 1 comment
The challenges of adversarial machine learning in constrained-feature applications – TechTalks https://bdtechtalks.com/2022/09/19/adversarial-machine-learning-constrained-features/ 0 comments
Why the difference between AI and machine learning matters – TechTalks https://bdtechtalks.com/2018/10/08/artificial-intelligence-vs-machine-learning/ 0 comments
The link between CAPTCHAs and artificial general intelligence – TechTalks https://bdtechtalks.com/2020/11/16/captcha/ 0 comments
Microsoft, GPT-3, and the future of OpenAI – TechTalks https://bdtechtalks.com/2021/05/31/microsoft-gpt-3-and-the-future-of-openai/ 0 comments
The case for human-centered AI – TechTalks https://bdtechtalks.com/2022/03/21/human-centered-ai-ben-shneiderman/ 0 comments
The dos and don’ts of machine learning research – TechTalks https://bdtechtalks.com/2021/08/19/machine-learning-research-pitfalls/ 0 comments