Last month the Microsoft Research team shared some insights in a generative application framework called AutoGen that casts a spotlight on so many intriguing possibilities in AI.Large Language Models (LLMs) like GPT-4 …
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Last month the Microsoft Research team shared some insights in a generative application framework called AutoGen that casts a spotlight on so many intriguing possibilities in AI.Large Language Models (LLMs) like GPT-4 …
There is a term that I and the team at tecmie have consistently been referencing which is H.I.T.L. Short for Human In the Loop. H.I.T.L is critical in today’s world considering how AI has been flourishing in the past months.
Can AI create new jobs as fast as it can replace existing jobs? McKinsey reports that up to 800 million jobs could be displaced and 950 million new jobs could be created by the same time
Understanding how to leverage AI for problem-solving in the same manner as humans isnβt straightforward. Given that there has been a lot of research done in this field four research papers …
I have been doing a lot of thinking lately, as the momentum of generative AI continues to accelerate, it becomes increasingly crucial to discern the different strata of players in this transformative arena.
Do we still need Mavis Beacon and similar tools that helped us learn how to interact better with computers? Is there a necessity to grasp the foundational basics of machine interfaces?
If you were Santa, language models would be your elves, each one responsible for producing a unique gift for each child based on how good they are. The instructions given to all elves are the same. the outputs however vary
Imagine a future where parenting would be driven by personalized learning through AI companions that have rich cultural context, history about your family so that learning is curated specifically
Minimum Viable Evangelism (MVE) is a fresh way to spread God’s word. Apps like ChatKJV leverage this concept to create evangelism driven experiences in a chat-driven interface