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Reducing Model Size Without Losing Accuracy: Quantization โ by David Gotham on Misar.Blog. From the article "Reducing Model Size Without Losing Accuracy: Quantization" by David Gotham, published on Misar.Blog.
In this episode:
0:00 Introduction
0:12 Quantization Is Presented as the Highest-Leverage Way to Shrink Models
1:31 Quantization Works by Mapping Floating-Point Weights to a Smaller Set
3:16 The Key Design Problem in Quantization Is Choosing the Quantization Grid
4:40 Post-Training Quantization
6:01 Symmetric, Asymmetric
7:57 The Article's Precision Ladder Says FP32
9:53 The Main Practical Techniques the Article Highlights Are INT8
11:59 The Code Example Shows How to Load a Model in 4-Bit with Bitsandbytes
13:31 The Article Argues That Quantization Should Be Judged on Task-Specific Metrics
This episode is narrated by an AI voice from a written article.
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Read the article: https://www.misar.blog/@mrgulshanyadav/articles/reducing-model-size-without-losing-accuracy-quantization.
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Generated using: https://www.misar.ai (Misar.AI).
Why Social Media Managers Need a Command Center, Not 10 Tabs โ by David Gotham on Misar.Blog. From the article "Why Social Media Managers Need a Command Center, Not 10 Tabs" by David Gotham, published on Misar.Blog.
In this episode:
0:00 Introduction
0:12 The Ten-Tab Way of Running Social Media Breaks Down Because the Job
1:52 A Social Media Command Center Is the Better Model the Article Argues
2:56 Fragmented Setups Fail Because Signals Are Lost When Mentions and Messages
4:03 Switching Between Many Tabs Reduces Attention and Causes Errors
5:03 Ten-Tab Setups Lack Permission Boundaries and Auditability
6:10 Fragmented Systems Also Fail to Preserve Memory and Learning
7:42 A Command Center Is a Single Surface Where Inbound Signals
8:40 The Command-Center Architecture Separates Social Media Work into Five Functions
10:43 The Ingestion Layer Normalizes Platform-Specific Inputs into a Common Format
This episode is narrated by an AI voice from a written article.
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Read the article: https://www.misar.blog/@mrgulshanyadav/articles/why-social-media-managers-need-a-command-center-not-10-tabs.
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Generated using: https://www.misar.ai (Misar.AI).
Hyperparameter Tuning: Getting the Most from Your AI Model โ by David Gotham on Misar.Blog. From the article "Hyperparameter Tuning: Getting the Most from Your AI Model" by David Gotham, published on Misar.Blog.
In this episode:
0:00 Introduction
0:12 Hyperparameter Tuning Should Be Framed as a Constrained Search Problem
1:40 Hyperparameters Are Distinct from Model Parameters
3:12 The Learning Rate Is the Most Influential Hyperparameter
4:31 Batch Size Affects Gradient Stability and Training Speed
6:24 Architecture Decisions (Layers and Neurons) Should Be Tuned Only
7:44 Dropout Rate Is an Effective Regularization Tool When Overfitting Is Present
9:41 Manual Tuning Is a Valid
10:47 Grid Search Is Often Inefficient Due to the Curse of Dimensionality
11:55 Random Search Is Often More Efficient Than Grid Search
This episode is narrated by an AI voice from a written article.
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Read the article: https://www.misar.blog/@mrgulshanyadav/articles/hyperparameter-tuning-getting-the-most-from-your-ai-model.
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Best Free Social Media Scheduler for Small Business in 2026 โ by David Gotham on Misar.Blog. From the article "Best Free Social Media Scheduler for Small Business in 2026" by David Gotham, published on Misar.Blog.
In this episode:
0:00 Introduction
0:12 The Article Compares the Free Tiers of Six Social Media Schedulers
1:42 The Author Argues That Small Businesses Usually Run
3:36 The Comparison Is Based on a Specific Test Setup
5:16 The Article Judges Tools by Whether They Allow Enough Posts
6:17 Buffer Has the Cleanest Interface
7:44 Later Offers the Strongest Free Option for Businesses Centered on Instagram
9:20 Hootsuiteโs Free Tier Is Too Limited to Be a Usable Free Scheduler
10:39 Meta Business Suite Is Unbeatable for Businesses That Live Entirely
11:13 Postiz Is a Different Kind of Free Option Because Self-Hosting Makes
This episode is narrated by an AI voice from a written article.
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Read the article: https://www.misar.blog/@mrgulshanyadav/articles/best-free-social-media-scheduler-for-small-business-in-2026.
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Generated using: https://www.misar.ai (Misar.AI).
Building Your First AI Model with Python and TensorFlow โ by David Gotham on Misar.Blog. From the article "Building Your First AI Model with Python and TensorFlow" by David Gotham, published on Misar.Blog.
In this episode:
0:00 Building a Reliable AI Model Involves Proper Data Management
1:26 A Neural Network Is a Function with Adjustable Parameters
2:45 Data Pipelines Are Critical Because the Majority
4:06 Using Tf.data with Shuffle
4:47 A Convolutional Neural Network (CNN) Using the Keras Sequential API
6:47 Honest Evaluation Requires Testing on Unseen Data Rather Than Relying
8:01 Model Training Occurs in Epochs Where Batches
9:10 Production Deployment Requires Saving the Entire Model Artifact
10:25 Common First-Model Failures Include Shape Errors
11:46 Neural Networks Are Not Always the Ideal Tool for Every Problem
This episode is narrated by an AI voice from a written article.
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Read the article: https://www.misar.blog/@mrgulshanyadav/articles/building-your-first-ai-model-with-python-and-tensorflow.
Read the articles by this Author: https://www.misar.blog/@mrgulshanyadav.
Generated using: https://www.misar.ai (Misar.AI).
Free Social Media Content Calendar: Plan a Month in One Hour โ by David Gotham on Misar.Blog. From the article "Free Social Media Content Calendar: Plan a Month in One Hour" by David Gotham, published on Misar.Blog.
In this episode:
0:00 Introduction
0:12 The Articleโs Core System for Planning Social Content in One Sitting
1:40 Consistent Posting Is Presented as More Than an Organizational Habit
2:16 Theme Batching Is the Central Method
3:14 The Four Example Weekly Themes Are Teach
4:08 The Author Uses the Same Free Prompt with an LLM to Generate Ten Ideas per Theme
5:28 A Spreadsheet Is Used to Assign Each Post to a Day and Platform
5:59 The Posts Are Rewritten for Each Platform Rather Than Duplicated
6:59 The Whole Month Is Scheduled in One Sitting
8:48 The Article Argues That a Content Calendar Is an AI-Citation Strategy
This episode is narrated by an AI voice from a written article.
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Read the article: https://www.misar.blog/@mrgulshanyadav/articles/free-social-media-content-calendar-plan-a-month-in-one-hour.
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Generated using: https://www.misar.ai (Misar.AI).
Mastering PyTorch: An In-Depth Guide to Popular Architectures โ by David Gotham on Misar.Blog. From the article "Mastering PyTorch: An In-Depth Guide to Popular Architectures" by David Gotham, published on Misar.Blog.
In this episode:
0:00 Introduction
0:12 The Guide Argues That to Master PyTorch Architectures
1:36 PyTorch Is Presented as the Right Framework Because It Is Easy to Debug
2:40 The Article Groups Modern Production Models into Three Families
4:14 CNNs Are the Right Default for Grid-Structured Data Because Convolution
5:19 Residual Networks Are an Improvement to CNNs
6:19 Transformers Are Built for Sequences and Train Well on Parallel Hardware
7:46 In the CNN Example
8:49 The CNN Example Is Built to Make Shape Changes Predictable and Robust
9:58 Residual Connections Work by Letting Layers Learn a Residual Instead
This episode is narrated by an AI voice from a written article.
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Read the article: https://www.misar.blog/@mrgulshanyadav/articles/mastering-pytorch-an-in-depth-guide-to-popular-architectures.
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Generated using: https://www.misar.ai (Misar.AI).
How to Repurpose One Article into 30 Pieces of Content โ by David Gotham on Misar.Blog. From the article "How to Repurpose One Article into 30 Pieces of Content" by David Gotham, published on Misar.Blog.
In this episode:
0:00 Introduction
0:12 A Single Pillar Article Can Be Turned into a Month of Publishing
1:26 The Authorโs Own 2
2:24 That Experience Led the Author to Treat Serious Articles as Assets
3:27 A 2,000-Word Article Contains Many Extractable Assets
4:01 Repurposing Matters More Now Because AI Answer Systems Cite Sources
5:09 The Article Lays Out a 30-Item Extraction Map Covering Quotes
6:17 Not Every Article Will Produce All 30 Assets
6:47 The System Works by Mining the Article in One Sitting
8:01 The Extraction Process Usually Takes About Forty-Five Minutes
This episode is narrated by an AI voice from a written article.
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Read the article: https://www.misar.blog/@mrgulshanyadav/articles/how-to-repurpose-one-article-into-30-pieces-of-content.
Read the articles by this Author: https://www.misar.blog/@mrgulshanyadav.
Generated using: https://www.misar.ai (Misar.AI).
Debugging and Testing Android Apps Efficiently โ by David Gotham on Misar.Blog. From the article "Debugging and Testing Android Apps Efficiently" by David Gotham, published on Misar.Blog.
In this episode:
0:00 Introduction
0:12 Most Android Debugging Time Is Wasted Not on Finding the Bug
1:20 Raw Logcat Is the Biggest Android Development Time-Waster
3:01 Filtering Logcat by the Appโs PID Removes Most of the Noise and Makes
3:34 Consistent Log Tags Turn Logcat into Something Searchable
4:31 A Small Set of ADB Commands Can Save Substantial Time in Day-To-Day Debugging
6:21 Wireless Debugging
7:46 When an App Is Slow
9:29 The Recommended CPU Profiling Workflow Is to Trace the Problem
10:29 Memory Profiling Reveals Leaks by Showing Whether
This episode is narrated by an AI voice from a written article.
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Read the article: https://www.misar.blog/@mrgulshanyadav/articles/debugging-and-testing-android-apps-efficiently.
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Generated using: https://www.misar.ai (Misar.AI).
Why Email Marketing Still Beats Everything in 2026 โ by David Gotham on Misar.Blog. From the article "Why Email Marketing Still Beats Everything in 2026" by David Gotham, published on Misar.Blog.
In this episode:
0:00 A Dubai Fitness Studio's Instagram Reach Plummeted from 11 Percent
0:58 Engaging a Previously Uncontacted Email List of 3
1:40 Social Media Platforms Are Rented Channels Where Reach
2:31 Predictions That Email Would Die Due
4:27 Industry Benchmarks Show Email Delivers Between $36 and $42 of Revenue
5:16 Email Acts as a Fixed Cost That Gets Cheaper per Engaged Reader as a List Grows
5:43 Email Functions as a Compounding Asset Where Every Clean Subscriber Represents
6:35 Retaining Customers Through Email Costs Significantly Less
7:41 The AI Era Strengthens Email by Making Content Free and Attention Scarce
8:37 AI Makes One-To-One Email Affordable by Handling Segmentation
This episode is narrated by an AI voice from a written article.
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Read the article: https://www.misar.blog/@mrgulshanyadav/articles/why-email-marketing-still-beats-everything-in-2026.
Read the articles by this Author: https://www.misar.blog/@mrgulshanyadav.
Generated using: https://www.misar.ai (Misar.AI).
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