Most People Get This Wrong: Vector Search
Most people pick the wrong one. What's yours?
Your question gets turned into a vector by an embedding model, and that vector is what the database searches.
Did you get it right?
#VectorSearch #Embeddings #RAG #AIEdShorts
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Most People Get This Wrong: RLHF
Most people pick the wrong one. What's yours?
People rank two replies, a reward model learns those rankings, and that signal trains the answering model.
Did you get it right?
#RLHF #AIAlignment #LLM #MachineLearning #AIEdShorts
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Most People Get This Wrong: RLHF
Most people get this wrong 👀
People rank two replies, a reward model learns those rankings, and that signal trains the answering
Pause and pick A, B, C or D, then drop your answer below 👇
#RLHF #AIAlignment #LLM #MachineLearning #AIEdShorts
Llm Inference Performance Explained
LLM inference performance is a key building block for practical AI systems. Learn the core idea and why it matters.
#LLMInference #AIInference #AIEngineering #GenerativeAI #AIEdShorts
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The Cyclist Never Looked Back. Watch What FSD Did.
#Tesla #FSD #SelfDriving #AutonomousVehicles #TeslaFSD
Human driver or FSD — who handles a cyclist better?
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Both AIs Said London. Only One Got Punished.
Two AIs gave the same wrong answer. Only one got punished.
One was 55% sure of LONDON, the other 99%. The right answer was PARIS. AI measures surprise with the natural log: the less it expected the right answer, the bigger the loss, 0.80 versus 4.61. Training is just shrinking that number.
Did you know AI learns by measuring its own surprise?
#NaturalLogarithm #AI #MachineLearning #DeepLearning #TechExplained
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Watch a Giant AI Shrink Onto Your Phone.
Your phone can't run a giant AI. So a giant AI teaches a smaller one.
The big teacher shows the small student how to spot spam and turn speech into text, until the student can do both jobs alone, on your phone. That's knowledge distillation.
Which on-phone job do you use more: spam filtering or speech-to-text?
#KnowledgeDistillation #AI #MachineLearning #DeepLearning #TechExplained
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FSD crosses 17 billion miles.
Way to go to save lives with autonomy
Tesla's global fleet has just crossed 17 billion miles driven on FSD (Supervised).
Last week, Tesla updated this FSD mile counter to reflect growing usage. Its fleet now drives 1,000 miles every 1.8 seconds on FSD, or 18.2 billion miles annually, up 35% since July 2026.
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Watch FSD Understand a Headlight Flash From Another Driver
#Tesla #FSD #SelfDriving #AutonomousVehicles #TeslaFSD
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Stop Trusting a Confident AI and watch this
This AI is 99% confident. And wrong.
The right answer got just 1% — so how surprised should the AI be? AI counts surprise with logarithms: every halving adds one loss point, so 50% confidence is a loss of 1.00 and 1% confidence is 6.64.
Training is just shrinking that number. Did you know AI learns by measuring its own surprise?
#LogLoss #AI #MachineLearning #DeepLearning #TechExplained
5
Watch AI Read One Word Two Ways.
One word, two meanings — and AI has to figure out which one you meant.
With causal attention, BANK can only use earlier words, so RIVER stays blocked. With bidirectional attention, both sides help, and RIVER shapes what BANK means.
Same sentence, two rules. Causal runs chatbots and text generation; bidirectional runs search and sentiment analysis. Which one surprised you?
#AttentionMechanism #AI #MachineLearning #DeepLearning #TechExplained
6
Watch How AI Adjusts Billions of Settings.
AI has billions of settings — and it doesn't adjust them all the same way.
Adam keeps two memories for every weight: the average of its recent gradients, and the average of their squares. That gives each weight its own adaptive update.
SGD trusts only the latest gradient. Adam remembers.
#AdamOptimizer #AI #MachineLearning #DeepLearning #TechExplained
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Llm Inference Performance Explained
LLM inference performance is a key building block for practical AI systems. Learn the core idea and why it matters.
#LLMInference #AIInference #AIEngineering #GenerativeAI #AIEdShorts
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Llm Inference Performance Explained
LLM inference performance is a key building block for practical AI systems. Learn the core idea and why it matters.
#LLMInference #AIInference #AIEngineering #GenerativeAI #AIEdShorts
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The sun is dead ahead, the camera is washed out — and FSD just keeps driving.
Would you trust FSD through this glare?
#Tesla #FSD #SelfDriving #AutonomousVehicles #TeslaFSD
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Llm Training Optimization Explained
LLM training optimization is a key building block for practical AI systems. Learn the core idea and why it matters.
#LLMtrainingoptimization #AIEngineering #LLM #GenerativeAI #AIEdShorts
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Stop Thinking AI Reads Words.
AI never reads the word "hello." It reads 104, 205, 19.
Before a model sees your text, a tokenizer chops it into pieces and swaps each one for a number — that's what the model actually understands.
#Tokenizer #BPE #AI #MachineLearning #DeepLearning
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