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How RAG Solve Biggest Problem Of Ai Model . . . . . . RAG (Retrieval-Augmented Generation) helps AI fetch real-time and accurate data before generating answers ๐Ÿค–๐Ÿ“š It combines retrieval + generation
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Epochs vs Iterations in Deep Learning ๐Ÿค–โšก ๐Ÿ“Œ Epoch = One complete pass of the entire dataset ๐Ÿ“Œ Iteration = One update of model weights after a batch More epochs = Better learning (sometimes ๐Ÿ˜…) Mor
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Data preprocessing in AI/ML . . . . is the process of cleaning, organizing, and transforming raw data into a useful format before training a model. It improves accuracy, removes errors, and helps mac
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How Bot Follower Detected In Instagram . . . .How Instagram Detects Bot Followers ๐Ÿ‘€ โ€ข Mass follow/unfollow activity โ€ข Spam or repeated comments โ€ข Low engagement on posts โ€ข No profile pic or real po
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Follow These step When Making Machine Learning . . . . ... . .#machinelearning #artificialintelligence #datascience #100days #ai
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Comment Anything I'll Send You in Your Dm . . . . . .Enhance your prompts instantly with this AI-powered extension. Transform simple ideas into clear, detailed, and high-quality prompts for better AI
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HOW Perceptron Actually Work . . . .Regularization helps prevent overfitting in machine learning It adds a penalty for overly complex models Keeps model weights small and controlled Improves per
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Regularization Help model to Prevent from Overfitting . . Regularization helps prevent overfitting in machine learning It adds a penalty for overly complex models Keeps model weights small and co
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Just comment anything for Extension . . . .This Extension help you to start chat where you left in the other LLM To Solve this Problem I have Extensions for that where you can generate your chat in
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Main Difference b/w Ai Agent and Agentic Ai . (Data science, ai, ai agent, Agentic AI , Data, Rag, Claude, Machine Learning, Trend, Ai revolution) . Agentic AI is a new paradigm where AI systems act
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Comment anything I'll send you The Link . . . . .In This GitHub Repo you will get 15+ Project where you can Build Your own project/model Through this and this is very easy to get Just comment anything
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Beginner made Mistake while learning ML . . . . . .Overfitting: Training accuracy high, but fails badly on new data. Skipping EDA: Ignoring your data leads to wrong assumptions and poor models. Wron
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About @he_y.dev

Dev. is a Instagram nano influencer. With 2.6K followers and 12 posts, he_y.dev's account shows a follower-to-following ratio of N/A:1. View all content anonymously on Pictame - no login required.

he_y.dev's engagement rate sits at 3.12%. For accounts with 1K-10K followers, the average is around 5%, so there's some room to grow โ€” though every community is unique.

Out of the last 12 posts, 100% are videos and 0% are photos. New content goes up pretty much every day โ€” a very consistent posting habit. Captions lean moderate, averaging 407 characters.

3.12% engagement rate โ€” room to grow compared to average for 1K-10K follower accounts.
Posts every day โ€” very consistent.

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he_y.dev
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@he_y.dev

Dev.

Public
Posts
12
Followers
2.6K
Top Hashtags
#MachineLearning#AI#DataScience#ArtificialIntelligence#DeepLearning#Regularization#GenAI#RAG

Explore the most impactful hashtags used in recent posts. These tags highlight the core interests and trending topics that define this profile's digital influence and content strategy.

Following
0
Avg. Likes
66
Avg. Comments
16
Engagement
3.15%

๐Ÿ™ŒStart solving what actually matters ๐Ÿ’กEx-Bug Hunter | Recognized by Netflix ๐ŸŒŸTech & AI โœ‰๏ธ kdewansh98@gmail.com dm fo...

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