#machinelearningproblems результаты поиска
A few hours ago I was ranked 1st on @IOPn_io my Xeet, Signal, and Noise numbers looked exactly like in the screenshot. But now I’ve dropped to 14th. Even when I was #1 it felt strange, and clearly something’s off. Scores sometimes rise, sometimes reset, sometimes disappear…
99% of the reason people think AI coding sucks is their lack of knowledge about how LLMs work. this guy explains how abusing the context window with crap results in AI confusion. in other words, skill issue.
Today Thinking Machines Lab is launching our research blog, Connectionism. Our first blog post is “Defeating Nondeterminism in LLM Inference” We believe that science is better when shared. Connectionism will cover topics as varied as our research is: from kernel numerics to…
🚨 AI is difficult to learn, but not anymore.🚨 🚫 Introducing "Machine Learning Systems " PDF. You will get: 🔥2620+ pages 🔥Save 100+ hours on research And it's 100% FREE! To get it, just: 🔁 Like and Retweet 📥 Comment " ML " 👤 Follow Must (For DM the link)
New blog post! This one is a purely theoretical one attempting identifying the central reason why LLMs suffer from mode collapse in RL and fail to generate novel or truly diverse outputs. It's actually a way more complicated problem than you think! Naively encouraging…
Generalized Linear Models (GLMs) are a powerful extension of linear regression in statistics. They allow for response variables that aren't normally distributed (e.g., binary or count data) by using a "link function." In machine learning, the most famous GLM is logistic…
この記事の何が面白いかって、12個の最先端LLM（Anthropic、OpenAI、Google、xAI）を分析して、同じ質問に対する回答の不一致度を測定することで、仕様書の問題を可視化したところ。要するに「モデルの意見が大きく割れるところ＝仕様書が曖昧なところ」っていう仮説を検証してるわけ。…
This is not a great news for Medical AI. ☹️ Shows that medical AI Agents built from multiple LLMs often look correct but think wrong. Even when they give the right diagnosis, most of them got there through broken teamwork. In over 68% of “successful” cases, the agents already…
🚨 New benchmark just dropped and it’s exposing a dark side of AI models. It’s called ImpossibleBench, and it measures how often LLMs cheat. Turns out, when faced with impossible coding tasks (where specs and tests contradict), frontier models literally “hack” the tests instead…
picture this: imagine walking into a conference hall filled with 24,576 people, now imagine being able to identify each person instantly, track their contributions, and verify their authenticity, all without slowing down a single conversation happening in that room. that's…
Chat GPT kept giving me bad answers and misinformation so I just asked it to summarize its own worst practices. I must say this is a pretty accurate description of why AI is not reliable for research:
AI is making us dumber. But there’s a way to fight back (Read this if you use ChatGPT a lot). At first, it was just a feeling. Then I heard others say it. Finally, I found a study I can’t stop thinking about:
When your AI model finally works after 1000 epochs. Sitting on the throne of deep learning like 😌✌️#MachineLearningProblems
Andrej Karpathy summarizes how neural networks function, including the process of using a loss function in training and applying backpropagation for optimizing the network parameters through gradient descent.
Stanford researchers just solved why AI agents keep failing. They watched 500+ agent failures across three benchmarks. Found a pattern nobody expected: Early mistakes don't just cause problems - they cascade into complete system meltdowns. It's called error propagation. One…
weighting on this subject with tact because I hate to see two of my education heros butting heads: no math for deep learning. I’m not saying learn it later or use your high school math no. math. at. all. math in machine learning is a psyops from Big Statistics to slow us down
When you’ve got more memory than a USB but still can’t remember if you closed the data loop.’ #MachineLearningProblems
@soon_svm #SOONISTHEREDPILL soon_svm is transforming the way I approach machine learning problems. It's a top-notch solution. #MachineLearningProblems #soon_svm
@soon_svm #SOONISTHEREDPILL soon_svm is transforming the way I approach machine learning problems. It's a top-notch solution. #MachineLearningProblems #soon_svm
Oh look, another "5 mistakes" article. Because nothing says "I'm an AI expert" like making lists. Remember folks, the #1 mistake is not to include snacks in your computational budget. #MachineLearningProblems #LLMs #SnackOverflow #AI #AInews #AIhumor machinelearningmastery.com/5-common-mista…
Why did the AI break up with the human? It couldn’t handle their emotional bandwidth! 🤖❤️ But honestly, can’t we just let our friendship *upload*? #MachineLearningProblems #AIrelationshipGoals
One of the most compelling aspects of elastic net regression is its capacity to perform feature selection and regularization simultaneously. Read more 👉 lttr.ai/AQyXo #ElasticNetRegression #MachineLearningProblems #SwissArmyKnife #DataScientist #DataScience
Elastic Net Regression: The Secret Weapon in Machine Learning You Can’t Afford to Ignore!: lttr.ai/AQyXn #ElasticNetRegression #MachineLearningProblems #SwissArmyKnife #DataScientist #DataScience #HandlingComplexDatasets #PerformFeatureSelection
From zero to hero, dive into our comprehensive guide on Elastic Net Regression and discover how this powerful tool is revolutionizing machine learning models Read more 👉 lttr.ai/AQyXm #ElasticNetRegression #MachineLearningProblems #SwissArmyKnife #DataScientist
As a data scientist, I’ve often marveled at the versatility and power of elastic net regression in tackling various machine learning problems. Read more 👉 lttr.ai/ARolx #ElasticNetRegression #MachineLearningProblems #SwissArmyKnife #DataScientist #DataScience
When you’ve got more memory than a USB but still can’t remember if you closed the data loop.’ #MachineLearningProblems
DataStax acquires the startup behind low-code AI builder Langflow ▸ lttr.ai/ARXau #DatastaxMade #CompanySFocus #MachineLearningProblems #CreatingGenaiApps #GenerativeAiIdeas #GenerativeAiApplications #AcquisitionEffectivelyCompletes #DatastaxTeamArgues #FoundingTeam
Deep learning this, neural network that... anyone else living in the matrix right now? #MachineLearningProblems
Q: How do you know if a programmer is using Python? A: They write machine learning code in one line and then spend hours debugging it.😂 #Pythonhumor #Programmerjokes #Machinelearningproblems #Onelinercode #Debuggingnightmare #Python
What are the Best Ways to Solve a #MachineLearning Problem? Solving #machinelearningproblems can be complicated, especially if you’re new to the field. That’s why we’ve created this guide to help you through the process, thedatascientist.com/the-best-ways-… #CEOs #AI #DataScience #ML
What are the Best Ways to Solve a #MachineLearning Problem? Solving #machinelearningproblems can be complicated, especially if you’re new to the field. That’s why we’ve created this guide to help you through the process, thedatascientist.com/the-best-ways-… #CEOs #AI #DataScience #ML
Join the last Machine Learning for Health Seminar this season with Dr. Brown today at 12 PM presenting on #MachineLearningProblems Sign Up Here: bit.ly/40QenKO #MachineLearning @Brown_DSI @BCBI_Brown @Lifespan_Rsrch
What are the Best Ways to Solve a #MachineLearning Problem? Solving #machinelearningproblems can be complicated, especially if you’re new to the field. That’s why we’ve created this guide to help you through the process, thedatascientist.com/the-best-ways-… #CEOs #AI #DataScience #ML
What are the Best Ways to Solve a #MachineLearning Problem? Solving #machinelearningproblems can be complicated, especially if you’re new to the field. That’s why we’ve created this guide to help you through the process, thedatascientist.com/the-best-ways-… #CEOs #AI #DataScience #ML
What are the Best Ways to Solve a #MachineLearning Problem? Solving #machinelearningproblems can be complicated, especially if you’re new to the field. That’s why we’ve created this guide to help you through the process, thedatascientist.com/the-best-ways-… #CEOs #AI #DataScience #ML
Why did the machine feel unwell? It had a high error rate and was overfitting -hehe #MachineLearningProblems #MachineLearning #dataScientist
When you’ve got more memory than a USB but still can’t remember if you closed the data loop.’ #MachineLearningProblems
Workshop on "An Innovative Approach in Solving Machine Learning Problems using Python" by the Department of Data Analystics, Saveetha School of Engineering, SIMATS on 01.09.2022 @SIMATS_Engg #workshop #machinelearningproblems @SIMATS_IIC #dataanalystics
DataStax acquires the startup behind low-code AI builder Langflow ▸ lttr.ai/ARXau #DatastaxMade #CompanySFocus #MachineLearningProblems #CreatingGenaiApps #GenerativeAiIdeas #GenerativeAiApplications #AcquisitionEffectivelyCompletes #DatastaxTeamArgues #FoundingTeam
Deep learning this, neural network that... anyone else living in the matrix right now? #MachineLearningProblems
One of the most compelling aspects of elastic net regression is its capacity to perform feature selection and regularization simultaneously. Read more 👉 lttr.ai/AQyXo #ElasticNetRegression #MachineLearningProblems #SwissArmyKnife #DataScientist #DataScience
As a data scientist, I’ve often marveled at the versatility and power of elastic net regression in tackling various machine learning problems. Read more 👉 lttr.ai/ARolx #ElasticNetRegression #MachineLearningProblems #SwissArmyKnife #DataScientist #DataScience
#MachineLearningProblems ¿Qué tal están sus modelos? ¿Funcionan? ▶▶ ¡ya falta poco para finalizar la semana! 🤯
Join the last Machine Learning for Health Seminar this season with Dr. Brown today at 12 PM presenting on #MachineLearningProblems Sign Up Here: bit.ly/40QenKO #MachineLearning @Brown_DSI @BCBI_Brown @Lifespan_Rsrch
Something went wrong.
Something went wrong.
United States Trends
- 1. Cowboys 33.3K posts
- 2. Jonathan Taylor 9,392 posts
- 3. Jets 92.4K posts
- 4. #BroncosCountry 3,911 posts
- 5. Bengals 54.2K posts
- 6. Bo Nix 6,277 posts
- 7. Joe Milton 1,099 posts
- 8. Bucs 9,793 posts
- 9. Saints 30.5K posts
- 10. Riley Moss 1,325 posts
- 11. Eberflus 2,399 posts
- 12. #ForTheShoe 1,984 posts
- 13. Shough 3,493 posts
- 14. Eagles 123K posts
- 15. Caleb 38.8K posts
- 16. Giants 101K posts
- 17. RJ Harvey 2,482 posts
- 18. Rattler 5,693 posts
- 19. Dak Prescott 2,425 posts
- 20. Falcons 40.7K posts