Philip Yong
@flipflipyong
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building agents for the vibes š¤š»
Kuala Lumpur
Joined May 2012
Iām thinking of getting a 3D printer to make random things for fun, whatās good 3D printer? I feel like Iāve heard of Bambu Lab A1
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The developer life is figuring out how to build a solution and build it. Then ends up learning a ābetterā way the next day and then wanting to rewrite the solution. And if the dev does rewrite it, the dev might find another ābetterā solution a few days later⦠Thatās me
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We are deeply saddened by the passing of James Carter Cathcart, the voice behind Professor Oak, Gary Oak, James and Meowth of Team Rocket, and other iconic characters for the PokƩmon animated series over many years. In addition to his voice work, James provided over 700 episodes
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The problem now is that I didn't have sunlight in my data set so the model is struggling when he goes into the sunlight. Gotta annotate more and retrain the model!
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I 'm recording a live stream of my puppy at the pet hotel but a whole day's worth of videos is too much to watch. So I decided to train a model to identify my puppy and help me to identify which timeframes he shows up on. I annotated 20 mins worth of footage
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Next step to optimize valuable watch time would be to train a model to recognize my puppy and identify which timeframes he appears so I donāt have to shift through a whole dayās worth of videos. After that, highlight if heās doing anything wack
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Best part of being an engineer is being able to bend the rules and do things people usually donāt think are possible. I have my puppy at a pet hotel and they have live streams but no recorded videos so I wrote a script to watch the stream, record it and upload it to my GDrive so
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Itās so fun that with tools like Bolt and https://t.co/sNSGeui9FJ, anyone can create that one small/fun idea that you just desire to have. My wife has been manually recording our puppyās eating, pooping and peeing timers on WhatsApp. She includes images too and now I just vibe
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+1 for "context engineering" over "prompt engineering". People associate prompts with short task descriptions you'd give an LLM in your day-to-day use. When in every industrial-strength LLM app, context engineering is the delicate art and science of filling the context window
I really like the term ācontext engineeringā over prompt engineering. It describes the core skill better: the art of providing all the context for the task to be plausibly solvable by the LLM.
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Out here at @aiDotEngineer. Thought that āevalsā were some fancy tool, now I know it is short for āevaluationsā. It is to evaluate the performance of AI responses and s lot of times thatās done by using AI as a judge. Pretty cool learnings and validated thoughts I had on how to
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