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Priyesh Dave

3x Patent Inventor | Lead AI Engineer | Tech Speaker | Enterprise AI & GenAI Systems | NLP | Knowledge Graphs | AI-MLOps | GCP & AWS

Education

Bachelors of Engineers - Information Technology

Pronouns

He/Him

Work

American Express

Day 46: RLHF: Reinforcement Learning from Human Feedback

Day 46: RLHF: Reinforcement Learning from Human Feedback

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5 min read
Safety Rules Don’t Survive the Context Window: Quantifying and Fixing Agent Compliance Decay

Safety Rules Don’t Survive the Context Window: Quantifying and Fixing Agent Compliance Decay

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6 min read
Day 45: Emergent Abilities in LLMs

Day 45: Emergent Abilities in LLMs

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5 min read
Tracing Agent Failures in Production: The Unexpected Why and How to Fix It

Tracing Agent Failures in Production: The Unexpected Why and How to Fix It

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5 min read
Day 38: GPT-1 to GPT-3: The Evolution of Scale

Day 38: GPT-1 to GPT-3: The Evolution of Scale

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5 min read
Day 44: Zero-Shot, One-Shot, and Few-Shot Learning

Day 44: Zero-Shot, One-Shot, and Few-Shot Learning

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6 min read
Day 43: In-Context Learning Explained

Day 43: In-Context Learning Explained

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4 min read
Day 42: What Makes a Model "Large"? Defining LLMs

Day 42: What Makes a Model "Large"? Defining LLMs

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5 min read
Day 40: Tokenization Deep Dive: BPE, WordPiece, SentencePiece

Day 40: Tokenization Deep Dive: BPE, WordPiece, SentencePiece

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5 min read
Token Cost Is the Real Bottleneck in Agentic AI: An Empirical Test of Agent Memory Strategies

Token Cost Is the Real Bottleneck in Agentic AI: An Empirical Test of Agent Memory Strategies

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4 min read
Layered Memory Architectures for Agentic AI: Why Vector Stores Aren’t Enough

Layered Memory Architectures for Agentic AI: Why Vector Stores Aren’t Enough

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6 min read
Day 39: T5 and the Text-to-Text Framework

Day 39: T5 and the Text-to-Text Framework

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5 min read
Day 39: T5 and the Text-to-Text Framework

Day 39: T5 and the Text-to-Text Framework

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5 min read
Token Cost Is the Real Bottleneck in Agentic AI: An Empirical Test of Agent Memory Strategies

Token Cost Is the Real Bottleneck in Agentic AI: An Empirical Test of Agent Memory Strategies

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4 min read
Safety Rules Don’t Survive the Context Window: Quantifying and Fixing Agent Compliance Decay

Safety Rules Don’t Survive the Context Window: Quantifying and Fixing Agent Compliance Decay

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6 min read
Day 39: T5 and the Text-to-Text Framework

Day 39: T5 and the Text-to-Text Framework

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5 min read
Day 39: T5 and the Text-to-Text Framework

Day 39: T5 and the Text-to-Text Framework

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5 min read
Token Cost Is the Real Bottleneck in Agentic AI: An Empirical Test of Agent Memory Strategies

Token Cost Is the Real Bottleneck in Agentic AI: An Empirical Test of Agent Memory Strategies

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4 min read
Day 39: T5 and the Text-to-Text Framework

Day 39: T5 and the Text-to-Text Framework

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5 min read
Token Cost Is the Real Bottleneck in Agentic AI: An Empirical Test of Agent Memory Strategies

Token Cost Is the Real Bottleneck in Agentic AI: An Empirical Test of Agent Memory Strategies

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4 min read
Day 38: GPT-1 to GPT-3: The Evolution of Scale

Day 38: GPT-1 to GPT-3: The Evolution of Scale

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5 min read
Day 37: GPT Architecture: Decoder-Only Transformers

Day 37: GPT Architecture: Decoder-Only Transformers

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5 min read
Day 36: Fine-Tuning BERT for Downstream Tasks

Day 36: Fine-Tuning BERT for Downstream Tasks

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5 min read
Support Triage with Open-Source AI Agents: Costs, Failure Patterns, and Missteps in the Real World

Support Triage with Open-Source AI Agents: Costs, Failure Patterns, and Missteps in the Real World

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4 min read
Day 35: BERT: Architecture and Masked Language Modeling

Day 35: BERT: Architecture and Masked Language Modeling

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5 min read
Agent Frameworks in the Trenches: Real Benchmark Numbers Across 107 Data Engineering Tasks

Agent Frameworks in the Trenches: Real Benchmark Numbers Across 107 Data Engineering Tasks

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4 min read
Day 34: What Is Pretraining? Transfer Learning for NLP

Day 34: What Is Pretraining? Transfer Learning for NLP

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4 min read
Day 33: Building a Mini Transformer From Scratch (Code Walkthrough)

Day 33: Building a Mini Transformer From Scratch (Code Walkthrough)

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Day 32: Layer Normalization and Residual Connections

Day 32: Layer Normalization and Residual Connections

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5 min read
How Context Window Degradation Breaks Long-Running Agents in Production—and How to Engineer Your Way Out

How Context Window Degradation Breaks Long-Running Agents in Production—and How to Engineer Your Way Out

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6 min read
Day 31: The Transformer Decoder Architecture

Day 31: The Transformer Decoder Architecture

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Day 30: The Transformer Encoder Architecture

Day 30: The Transformer Encoder Architecture

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6 min read
Day 29: Positional Encoding

Day 29: Positional Encoding

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Deconstructing Multi-Layer Persistent Memory in Open-Source AI Agents: Insights from jarvix-memory and engram

Deconstructing Multi-Layer Persistent Memory in Open-Source AI Agents: Insights from jarvix-memory and engram

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5 min read
Do Coding Agents Really Need Expensive Memory? Head-to-Head Benchmarks Say No

Do Coding Agents Really Need Expensive Memory? Head-to-Head Benchmarks Say No

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3 min read
Day 28: Multi-Head Attention

Day 28: Multi-Head Attention

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6 min read
When Agentic AI Breaks in Support Triage: Real Failures, True Costs, and What Actually Mitigates Risk

When Agentic AI Breaks in Support Triage: Real Failures, True Costs, and What Actually Mitigates Risk

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4 min read
Day 27: Self-Attention Explained From Scratch

Day 27: Self-Attention Explained From Scratch

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6 min read
Day 26: "Attention Is All You Need": The Paper That Changed Everything

Day 26: "Attention Is All You Need": The Paper That Changed Everything

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6 min read
Day 25: Bahdanau vs. Luong Attention

Day 25: Bahdanau vs. Luong Attention

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5 min read
Jev: The Decision Layer AI Agents Have Been Missing

Jev: The Decision Layer AI Agents Have Been Missing

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14 min read
LangGraph Pulled Ahead: A Code-Level Benchmark of 3 Agent Frameworks on 107 Data Engineering Tasks

LangGraph Pulled Ahead: A Code-Level Benchmark of 3 Agent Frameworks on 107 Data Engineering Tasks

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5 min read
Day 24: Attention Mechanism: The Core Intuition

Day 24: Attention Mechanism: The Core Intuition

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4 min read
Day 23: The Encoder-Decoder Architecture

Day 23: The Encoder-Decoder Architecture

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5 min read
Day 22: Sequence-to-Sequence Models

Day 22: Sequence-to-Sequence Models

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7 min read
Day 21: GRU Networks Explained

Day 21: GRU Networks Explained

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6 min read
Day 20: LSTM Networks Explained

Day 20: LSTM Networks Explained

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5 min read
How AI Agents Fail in Production: Real-World Reliability, Observability, and Recovery Patterns

How AI Agents Fail in Production: Real-World Reliability, Observability, and Recovery Patterns

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4 min read
Day 19: The Vanishing Gradient Problem

Day 19: The Vanishing Gradient Problem

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Day 18: Recurrent Neural Networks (RNNs) Explained

Day 18: Recurrent Neural Networks (RNNs) Explained

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5 min read
Battle-Tested Multi-Agent Orchestration Patterns with Google ADK: Parallel, Sequential, and Persistent Sessions

Battle-Tested Multi-Agent Orchestration Patterns with Google ADK: Parallel, Sequential, and Persistent Sessions

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4 min read
Day 17: Neural Networks Refresher for NLP Engineers

Day 17: Neural Networks Refresher for NLP Engineers

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Day 16: Cosine Similarity and Semantic Search Basics

Day 16: Cosine Similarity and Semantic Search Basics

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5 min read
Clean Engineering, Unstable Measurement: A Preregistered Reliability Failure of Black-Box LLM Observers on Shared Endpoints

Clean Engineering, Unstable Measurement: A Preregistered Reliability Failure of Black-Box LLM Observers on Shared Endpoints

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4 min read
SENTINEL-RL for SOCs: Architectural Gains and Cost Realities from Decoupling Semantic and Topological Reasoning

SENTINEL-RL for SOCs: Architectural Gains and Cost Realities from Decoupling Semantic and Topological Reasoning

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5 min read
Day 15: Visualizing Embeddings with t-SNE and PCA

Day 15: Visualizing Embeddings with t-SNE and PCA

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5 min read
Why LangGraph Wins: Benchmarking LangGraph, CrewAI, and AutoGen on 107 Real Data Engineering Tasks

Why LangGraph Wins: Benchmarking LangGraph, CrewAI, and AutoGen on 107 Real Data Engineering Tasks

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5 min read
How to Catch and Replay Production Agent Failures: Trace-Native CI/CD in Practice

How to Catch and Replay Production Agent Failures: Trace-Native CI/CD in Practice

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4 min read
Day 13: GloVe: Global Vectors for Word Representation

Day 13: GloVe: Global Vectors for Word Representation

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6 min read
Day 14: FastText and Subword Embeddings

Day 14: FastText and Subword Embeddings

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5 min read
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