Rohit Kumar Tiwari
@analyticalrohit.bsky.social
Simplifying AI for Everyone | Sr. Data Scientist | A Decade of Experience | Creator of AwesomeNeuron | Top 1% @ Topmate | Writes to 19K+ @ LinkedIn | GenAI, LLMs, Agents
Join 10K+ AI Folks → awesomeneuron.substack.com
Join 10K+ AI Folks → awesomeneuron.substack.com
Pinned
Retrieve and Rerank RAG, Explained Visually ✅
(step-by-step breakdown)
Retrieve and Rerank Retrieval-Augmented Generation (RAG) can be largely seen as:
➟ Data Indexing
➟ Retrieval + Rerank + Generation
(step-by-step breakdown)
Retrieve and Rerank Retrieval-Augmented Generation (RAG) can be largely seen as:
➟ Data Indexing
➟ Retrieval + Rerank + Generation
Reposted by Rohit Kumar Tiwari
95% of people don’t know how llms work.
this 230-page book unlocks the secrets.
master llms step by step:
> with clear explanations of core concepts
> pre-training, fine-tuning and human alignment
this 230-page book unlocks the secrets.
master llms step by step:
> with clear explanations of core concepts
> pre-training, fine-tuning and human alignment
February 9, 2026 at 12:39 PM
95% of people don’t know how llms work.
this 230-page book unlocks the secrets.
master llms step by step:
> with clear explanations of core concepts
> pre-training, fine-tuning and human alignment
this 230-page book unlocks the secrets.
master llms step by step:
> with clear explanations of core concepts
> pre-training, fine-tuning and human alignment
95% of people don’t know how llms work.
this 230-page book unlocks the secrets.
master llms step by step:
> with clear explanations of core concepts
> pre-training, fine-tuning and human alignment
this 230-page book unlocks the secrets.
master llms step by step:
> with clear explanations of core concepts
> pre-training, fine-tuning and human alignment
February 9, 2026 at 12:39 PM
95% of people don’t know how llms work.
this 230-page book unlocks the secrets.
master llms step by step:
> with clear explanations of core concepts
> pre-training, fine-tuning and human alignment
this 230-page book unlocks the secrets.
master llms step by step:
> with clear explanations of core concepts
> pre-training, fine-tuning and human alignment
Reposted by Rohit Kumar Tiwari
70% of rag errors come from bad retrievals
3 techniques that fixes retrieval quality
advanced rag builds on top of naïve rag by tackling issues like low-quality retrievals
the improvements come mainly from 3 areas
/Pre-retrieval strategies
/post-retrieval strategies
/fine-tuned embedding models
3 techniques that fixes retrieval quality
advanced rag builds on top of naïve rag by tackling issues like low-quality retrievals
the improvements come mainly from 3 areas
/Pre-retrieval strategies
/post-retrieval strategies
/fine-tuned embedding models
February 8, 2026 at 1:14 PM
70% of rag errors come from bad retrievals
3 techniques that fixes retrieval quality
advanced rag builds on top of naïve rag by tackling issues like low-quality retrievals
the improvements come mainly from 3 areas
/Pre-retrieval strategies
/post-retrieval strategies
/fine-tuned embedding models
3 techniques that fixes retrieval quality
advanced rag builds on top of naïve rag by tackling issues like low-quality retrievals
the improvements come mainly from 3 areas
/Pre-retrieval strategies
/post-retrieval strategies
/fine-tuned embedding models
70% of rag errors come from bad retrievals
3 techniques that fixes retrieval quality
advanced rag builds on top of naïve rag by tackling issues like low-quality retrievals
the improvements come mainly from 3 areas
/Pre-retrieval strategies
/post-retrieval strategies
/fine-tuned embedding models
3 techniques that fixes retrieval quality
advanced rag builds on top of naïve rag by tackling issues like low-quality retrievals
the improvements come mainly from 3 areas
/Pre-retrieval strategies
/post-retrieval strategies
/fine-tuned embedding models
February 8, 2026 at 1:14 PM
70% of rag errors come from bad retrievals
3 techniques that fixes retrieval quality
advanced rag builds on top of naïve rag by tackling issues like low-quality retrievals
the improvements come mainly from 3 areas
/Pre-retrieval strategies
/post-retrieval strategies
/fine-tuned embedding models
3 techniques that fixes retrieval quality
advanced rag builds on top of naïve rag by tackling issues like low-quality retrievals
the improvements come mainly from 3 areas
/Pre-retrieval strategies
/post-retrieval strategies
/fine-tuned embedding models
Reposted by Rohit Kumar Tiwari
neural networks: zero to hero by andrej karpathy
go from beginner to building gpt yourself.
free playlist. costs 0$. maximum impact.
master neural networks step by step:
> the basics of neural nets
> to building gpt from scratch.
go from beginner to building gpt yourself.
free playlist. costs 0$. maximum impact.
master neural networks step by step:
> the basics of neural nets
> to building gpt from scratch.
February 7, 2026 at 1:29 PM
neural networks: zero to hero by andrej karpathy
go from beginner to building gpt yourself.
free playlist. costs 0$. maximum impact.
master neural networks step by step:
> the basics of neural nets
> to building gpt from scratch.
go from beginner to building gpt yourself.
free playlist. costs 0$. maximum impact.
master neural networks step by step:
> the basics of neural nets
> to building gpt from scratch.
neural networks: zero to hero by andrej karpathy
go from beginner to building gpt yourself.
free playlist. costs 0$. maximum impact.
master neural networks step by step:
> the basics of neural nets
> to building gpt from scratch.
go from beginner to building gpt yourself.
free playlist. costs 0$. maximum impact.
master neural networks step by step:
> the basics of neural nets
> to building gpt from scratch.
February 7, 2026 at 1:29 PM
neural networks: zero to hero by andrej karpathy
go from beginner to building gpt yourself.
free playlist. costs 0$. maximum impact.
master neural networks step by step:
> the basics of neural nets
> to building gpt from scratch.
go from beginner to building gpt yourself.
free playlist. costs 0$. maximum impact.
master neural networks step by step:
> the basics of neural nets
> to building gpt from scratch.
Reposted by Rohit Kumar Tiwari
I wish I knew about this book earlier.
Neural networks from scratch using Python
> Build real understanding, not just models.
> Solid for building strong foundation.
Neural networks from scratch using Python
> Build real understanding, not just models.
> Solid for building strong foundation.
February 6, 2026 at 1:09 PM
I wish I knew about this book earlier.
Neural networks from scratch using Python
> Build real understanding, not just models.
> Solid for building strong foundation.
Neural networks from scratch using Python
> Build real understanding, not just models.
> Solid for building strong foundation.
I wish I knew about this book earlier.
Neural networks from scratch using Python
> Build real understanding, not just models.
> Solid for building strong foundation.
Neural networks from scratch using Python
> Build real understanding, not just models.
> Solid for building strong foundation.
February 6, 2026 at 1:09 PM
I wish I knew about this book earlier.
Neural networks from scratch using Python
> Build real understanding, not just models.
> Solid for building strong foundation.
Neural networks from scratch using Python
> Build real understanding, not just models.
> Solid for building strong foundation.
Reposted by Rohit Kumar Tiwari
you don’t need random tutorials to learn llms.
this course teaches you from fundamentals to deployment.
3 parts. 1 complete llm skillset.
/llm fundamentals
/the llm scientist
/the llm Engineer
this course teaches you from fundamentals to deployment.
3 parts. 1 complete llm skillset.
/llm fundamentals
/the llm scientist
/the llm Engineer
February 5, 2026 at 1:30 PM
you don’t need random tutorials to learn llms.
this course teaches you from fundamentals to deployment.
3 parts. 1 complete llm skillset.
/llm fundamentals
/the llm scientist
/the llm Engineer
this course teaches you from fundamentals to deployment.
3 parts. 1 complete llm skillset.
/llm fundamentals
/the llm scientist
/the llm Engineer
you don’t need random tutorials to learn llms.
this course teaches you from fundamentals to deployment.
3 parts. 1 complete llm skillset.
/llm fundamentals
/the llm scientist
/the llm Engineer
this course teaches you from fundamentals to deployment.
3 parts. 1 complete llm skillset.
/llm fundamentals
/the llm scientist
/the llm Engineer
February 5, 2026 at 1:30 PM
you don’t need random tutorials to learn llms.
this course teaches you from fundamentals to deployment.
3 parts. 1 complete llm skillset.
/llm fundamentals
/the llm scientist
/the llm Engineer
this course teaches you from fundamentals to deployment.
3 parts. 1 complete llm skillset.
/llm fundamentals
/the llm scientist
/the llm Engineer
Reposted by Rohit Kumar Tiwari
i wasted months trying to understand rag
So i created this clear step by step guide
master rag:
> with clear explanations
> and intuitive visuals
/What is RAG?
/Why do we need RAG?
/How does RAG solve the problem?
/How does RAG work?
/Naïve RAG
/Advanced RAG
/Graph RAG
/Multimodal
/Agentic RAG
So i created this clear step by step guide
master rag:
> with clear explanations
> and intuitive visuals
/What is RAG?
/Why do we need RAG?
/How does RAG solve the problem?
/How does RAG work?
/Naïve RAG
/Advanced RAG
/Graph RAG
/Multimodal
/Agentic RAG
February 4, 2026 at 11:48 AM
i wasted months trying to understand rag
So i created this clear step by step guide
master rag:
> with clear explanations
> and intuitive visuals
/What is RAG?
/Why do we need RAG?
/How does RAG solve the problem?
/How does RAG work?
/Naïve RAG
/Advanced RAG
/Graph RAG
/Multimodal
/Agentic RAG
So i created this clear step by step guide
master rag:
> with clear explanations
> and intuitive visuals
/What is RAG?
/Why do we need RAG?
/How does RAG solve the problem?
/How does RAG work?
/Naïve RAG
/Advanced RAG
/Graph RAG
/Multimodal
/Agentic RAG
i wasted months trying to understand rag
So i created this clear step by step guide
master rag:
> with clear explanations
> and intuitive visuals
/What is RAG?
/Why do we need RAG?
/How does RAG solve the problem?
/How does RAG work?
/Naïve RAG
/Advanced RAG
/Graph RAG
/Multimodal
/Agentic RAG
So i created this clear step by step guide
master rag:
> with clear explanations
> and intuitive visuals
/What is RAG?
/Why do we need RAG?
/How does RAG solve the problem?
/How does RAG work?
/Naïve RAG
/Advanced RAG
/Graph RAG
/Multimodal
/Agentic RAG
February 4, 2026 at 11:48 AM
i wasted months trying to understand rag
So i created this clear step by step guide
master rag:
> with clear explanations
> and intuitive visuals
/What is RAG?
/Why do we need RAG?
/How does RAG solve the problem?
/How does RAG work?
/Naïve RAG
/Advanced RAG
/Graph RAG
/Multimodal
/Agentic RAG
So i created this clear step by step guide
master rag:
> with clear explanations
> and intuitive visuals
/What is RAG?
/Why do we need RAG?
/How does RAG solve the problem?
/How does RAG work?
/Naïve RAG
/Advanced RAG
/Graph RAG
/Multimodal
/Agentic RAG
Reposted by Rohit Kumar Tiwari
90% of deep learning projects start with pytorch.
but most beginners get stuck because:
> they skip the basics
> jump straight into building models
master the pytorch fundamentals step by step:
> with clear explanations
> hands-on code
but most beginners get stuck because:
> they skip the basics
> jump straight into building models
master the pytorch fundamentals step by step:
> with clear explanations
> hands-on code
February 3, 2026 at 1:10 PM
90% of deep learning projects start with pytorch.
but most beginners get stuck because:
> they skip the basics
> jump straight into building models
master the pytorch fundamentals step by step:
> with clear explanations
> hands-on code
but most beginners get stuck because:
> they skip the basics
> jump straight into building models
master the pytorch fundamentals step by step:
> with clear explanations
> hands-on code
90% of deep learning projects start with pytorch.
but most beginners get stuck because:
> they skip the basics
> jump straight into building models
master the pytorch fundamentals step by step:
> with clear explanations
> hands-on code
but most beginners get stuck because:
> they skip the basics
> jump straight into building models
master the pytorch fundamentals step by step:
> with clear explanations
> hands-on code
February 3, 2026 at 1:10 PM
90% of deep learning projects start with pytorch.
but most beginners get stuck because:
> they skip the basics
> jump straight into building models
master the pytorch fundamentals step by step:
> with clear explanations
> hands-on code
but most beginners get stuck because:
> they skip the basics
> jump straight into building models
master the pytorch fundamentals step by step:
> with clear explanations
> hands-on code
Reposted by Rohit Kumar Tiwari
rag from scratch.
crips and to the point videos by langchain.
master rag step by step:
> with clear explanations
> and hands-on code
/overview
/indexing
/retrieval
/generation
/query translation
/routing
/query structuring
crips and to the point videos by langchain.
master rag step by step:
> with clear explanations
> and hands-on code
/overview
/indexing
/retrieval
/generation
/query translation
/routing
/query structuring
February 2, 2026 at 12:25 PM
rag from scratch.
crips and to the point videos by langchain.
master rag step by step:
> with clear explanations
> and hands-on code
/overview
/indexing
/retrieval
/generation
/query translation
/routing
/query structuring
crips and to the point videos by langchain.
master rag step by step:
> with clear explanations
> and hands-on code
/overview
/indexing
/retrieval
/generation
/query translation
/routing
/query structuring
rag from scratch.
crips and to the point videos by langchain.
master rag step by step:
> with clear explanations
> and hands-on code
/overview
/indexing
/retrieval
/generation
/query translation
/routing
/query structuring
crips and to the point videos by langchain.
master rag step by step:
> with clear explanations
> and hands-on code
/overview
/indexing
/retrieval
/generation
/query translation
/routing
/query structuring
February 2, 2026 at 12:25 PM
rag from scratch.
crips and to the point videos by langchain.
master rag step by step:
> with clear explanations
> and hands-on code
/overview
/indexing
/retrieval
/generation
/query translation
/routing
/query structuring
crips and to the point videos by langchain.
master rag step by step:
> with clear explanations
> and hands-on code
/overview
/indexing
/retrieval
/generation
/query translation
/routing
/query structuring
Reposted by Rohit Kumar Tiwari
Say GOODBYE to confusion about ai agents.
google dropped a guide introduced agents beautifully and clearly.
> model -> the "brain"
> tools -> the "hands"
> orchestration layer -> the "nervous system"
> deployment -> the "body and legs"
google dropped a guide introduced agents beautifully and clearly.
> model -> the "brain"
> tools -> the "hands"
> orchestration layer -> the "nervous system"
> deployment -> the "body and legs"
February 1, 2026 at 1:15 PM
Say GOODBYE to confusion about ai agents.
google dropped a guide introduced agents beautifully and clearly.
> model -> the "brain"
> tools -> the "hands"
> orchestration layer -> the "nervous system"
> deployment -> the "body and legs"
google dropped a guide introduced agents beautifully and clearly.
> model -> the "brain"
> tools -> the "hands"
> orchestration layer -> the "nervous system"
> deployment -> the "body and legs"
Say GOODBYE to confusion about ai agents.
google dropped a guide introduced agents beautifully and clearly.
> model -> the "brain"
> tools -> the "hands"
> orchestration layer -> the "nervous system"
> deployment -> the "body and legs"
google dropped a guide introduced agents beautifully and clearly.
> model -> the "brain"
> tools -> the "hands"
> orchestration layer -> the "nervous system"
> deployment -> the "body and legs"
February 1, 2026 at 1:15 PM
Say GOODBYE to confusion about ai agents.
google dropped a guide introduced agents beautifully and clearly.
> model -> the "brain"
> tools -> the "hands"
> orchestration layer -> the "nervous system"
> deployment -> the "body and legs"
google dropped a guide introduced agents beautifully and clearly.
> model -> the "brain"
> tools -> the "hands"
> orchestration layer -> the "nervous system"
> deployment -> the "body and legs"
Reposted by Rohit Kumar Tiwari
if docker feels like it’s mysteriously eating your RAM.
February 1, 2026 at 4:55 AM
if docker feels like it’s mysteriously eating your RAM.
if docker feels like it’s mysteriously eating your RAM.
February 1, 2026 at 4:55 AM
if docker feels like it’s mysteriously eating your RAM.
Reposted by Rohit Kumar Tiwari
collection of 300 ml system design case studies.
from over 80 leading companies.
apple, amazon, microsoft, meta, etc.
practical examples of ml system design.
/real world applications.
/clear insights you can learn from.
from over 80 leading companies.
apple, amazon, microsoft, meta, etc.
practical examples of ml system design.
/real world applications.
/clear insights you can learn from.
January 31, 2026 at 1:38 PM
collection of 300 ml system design case studies.
from over 80 leading companies.
apple, amazon, microsoft, meta, etc.
practical examples of ml system design.
/real world applications.
/clear insights you can learn from.
from over 80 leading companies.
apple, amazon, microsoft, meta, etc.
practical examples of ml system design.
/real world applications.
/clear insights you can learn from.
collection of 300 ml system design case studies.
from over 80 leading companies.
apple, amazon, microsoft, meta, etc.
practical examples of ml system design.
/real world applications.
/clear insights you can learn from.
from over 80 leading companies.
apple, amazon, microsoft, meta, etc.
practical examples of ml system design.
/real world applications.
/clear insights you can learn from.
January 31, 2026 at 1:38 PM
collection of 300 ml system design case studies.
from over 80 leading companies.
apple, amazon, microsoft, meta, etc.
practical examples of ml system design.
/real world applications.
/clear insights you can learn from.
from over 80 leading companies.
apple, amazon, microsoft, meta, etc.
practical examples of ml system design.
/real world applications.
/clear insights you can learn from.
Reposted by Rohit Kumar Tiwari
Preparing for a Machine Learning Interview?
Don’t Miss These Concepts and Questions.
Don’t Miss These Concepts and Questions.
January 30, 2026 at 12:00 PM
Preparing for a Machine Learning Interview?
Don’t Miss These Concepts and Questions.
Don’t Miss These Concepts and Questions.
Preparing for a Machine Learning Interview?
Don’t Miss These Concepts and Questions.
Don’t Miss These Concepts and Questions.
January 30, 2026 at 12:00 PM
Preparing for a Machine Learning Interview?
Don’t Miss These Concepts and Questions.
Don’t Miss These Concepts and Questions.
Reposted by Rohit Kumar Tiwari
MCP for Beginners Course.
Crips and to the point videos by Microsoft.
One of the best Youtube Playlist.
Master MCP core concepts.
The MCP is a powerful protocol for building:
> Secure
> Scalable
> Real-world Agent applications.
Crips and to the point videos by Microsoft.
One of the best Youtube Playlist.
Master MCP core concepts.
The MCP is a powerful protocol for building:
> Secure
> Scalable
> Real-world Agent applications.
January 29, 2026 at 1:27 PM
MCP for Beginners Course.
Crips and to the point videos by Microsoft.
One of the best Youtube Playlist.
Master MCP core concepts.
The MCP is a powerful protocol for building:
> Secure
> Scalable
> Real-world Agent applications.
Crips and to the point videos by Microsoft.
One of the best Youtube Playlist.
Master MCP core concepts.
The MCP is a powerful protocol for building:
> Secure
> Scalable
> Real-world Agent applications.