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
learning algorithms can feel tough.
honestly, it's one of the best resource I've found.
the right visuals make everything click faster.
tons of algorithms, all shown step by step.
honestly, it's one of the best resource I've found.
the right visuals make everything click faster.
tons of algorithms, all shown step by step.
February 15, 2026 at 1:19 PM
learning algorithms can feel tough.
honestly, it's one of the best resource I've found.
the right visuals make everything click faster.
tons of algorithms, all shown step by step.
honestly, it's one of the best resource I've found.
the right visuals make everything click faster.
tons of algorithms, all shown step by step.
learning algorithms can feel tough.
honestly, it's one of the best resource I've found.
the right visuals make everything click faster.
tons of algorithms, all shown step by step.
honestly, it's one of the best resource I've found.
the right visuals make everything click faster.
tons of algorithms, all shown step by step.
February 15, 2026 at 1:19 PM
learning algorithms can feel tough.
honestly, it's one of the best resource I've found.
the right visuals make everything click faster.
tons of algorithms, all shown step by step.
honestly, it's one of the best resource I've found.
the right visuals make everything click faster.
tons of algorithms, all shown step by step.
Reposted by Rohit Kumar Tiwari
⭕️ crazy. this github repo teaches you to build ai agents from scratch.
no frameworks.
no cloud apis.
no hidden reasoning.
no magic.
no frameworks.
no cloud apis.
no hidden reasoning.
no magic.
February 14, 2026 at 12:33 PM
⭕️ crazy. this github repo teaches you to build ai agents from scratch.
no frameworks.
no cloud apis.
no hidden reasoning.
no magic.
no frameworks.
no cloud apis.
no hidden reasoning.
no magic.
⭕️ crazy. this github repo teaches you to build ai agents from scratch.
no frameworks.
no cloud apis.
no hidden reasoning.
no magic.
no frameworks.
no cloud apis.
no hidden reasoning.
no magic.
February 14, 2026 at 12:33 PM
⭕️ crazy. this github repo teaches you to build ai agents from scratch.
no frameworks.
no cloud apis.
no hidden reasoning.
no magic.
no frameworks.
no cloud apis.
no hidden reasoning.
no magic.
Reposted by Rohit Kumar Tiwari
seriously, I have found the best llms cheatsheet.
covers concepts, finetuning, evaluations in just 7 pages.
grab here: drive.google.com/file/d/1J6aN...
covers concepts, finetuning, evaluations in just 7 pages.
grab here: drive.google.com/file/d/1J6aN...
February 13, 2026 at 1:23 PM
seriously, I have found the best llms cheatsheet.
covers concepts, finetuning, evaluations in just 7 pages.
grab here: drive.google.com/file/d/1J6aN...
covers concepts, finetuning, evaluations in just 7 pages.
grab here: drive.google.com/file/d/1J6aN...
seriously, I have found the best llms cheatsheet.
covers concepts, finetuning, evaluations in just 7 pages.
grab here: drive.google.com/file/d/1J6aN...
covers concepts, finetuning, evaluations in just 7 pages.
grab here: drive.google.com/file/d/1J6aN...
February 13, 2026 at 1:23 PM
seriously, I have found the best llms cheatsheet.
covers concepts, finetuning, evaluations in just 7 pages.
grab here: drive.google.com/file/d/1J6aN...
covers concepts, finetuning, evaluations in just 7 pages.
grab here: drive.google.com/file/d/1J6aN...
Reposted by Rohit Kumar Tiwari
want to ace your next llm interview?
find top 50 llm interview questions.
covers the topics you can’t skip
/core LLm concepts
/training & fine-tuning
/text Generation techniques
/optimization & math foundations
/architectures & extensions
/applications & comparisons
/practical considerations
find top 50 llm interview questions.
covers the topics you can’t skip
/core LLm concepts
/training & fine-tuning
/text Generation techniques
/optimization & math foundations
/architectures & extensions
/applications & comparisons
/practical considerations
February 12, 2026 at 2:19 PM
want to ace your next llm interview?
find top 50 llm interview questions.
covers the topics you can’t skip
/core LLm concepts
/training & fine-tuning
/text Generation techniques
/optimization & math foundations
/architectures & extensions
/applications & comparisons
/practical considerations
find top 50 llm interview questions.
covers the topics you can’t skip
/core LLm concepts
/training & fine-tuning
/text Generation techniques
/optimization & math foundations
/architectures & extensions
/applications & comparisons
/practical considerations
want to ace your next llm interview?
find top 50 llm interview questions.
covers the topics you can’t skip
/core LLm concepts
/training & fine-tuning
/text Generation techniques
/optimization & math foundations
/architectures & extensions
/applications & comparisons
/practical considerations
find top 50 llm interview questions.
covers the topics you can’t skip
/core LLm concepts
/training & fine-tuning
/text Generation techniques
/optimization & math foundations
/architectures & extensions
/applications & comparisons
/practical considerations
February 12, 2026 at 2:19 PM
want to ace your next llm interview?
find top 50 llm interview questions.
covers the topics you can’t skip
/core LLm concepts
/training & fine-tuning
/text Generation techniques
/optimization & math foundations
/architectures & extensions
/applications & comparisons
/practical considerations
find top 50 llm interview questions.
covers the topics you can’t skip
/core LLm concepts
/training & fine-tuning
/text Generation techniques
/optimization & math foundations
/architectures & extensions
/applications & comparisons
/practical considerations
Reposted by Rohit Kumar Tiwari
this 185-page book unlocks the secrets of deep learning.
/machine learning
/training methods
/activation functions
/pooling
/dropout
/attention
/cnns
/attention
/image classification
/object detection
/speech recognition
/reinforcement learning
/prompt engineering
/quantization
/machine learning
/training methods
/activation functions
/pooling
/dropout
/attention
/cnns
/attention
/image classification
/object detection
/speech recognition
/reinforcement learning
/prompt engineering
/quantization
February 11, 2026 at 12:34 PM
this 185-page book unlocks the secrets of deep learning.
/machine learning
/training methods
/activation functions
/pooling
/dropout
/attention
/cnns
/attention
/image classification
/object detection
/speech recognition
/reinforcement learning
/prompt engineering
/quantization
/machine learning
/training methods
/activation functions
/pooling
/dropout
/attention
/cnns
/attention
/image classification
/object detection
/speech recognition
/reinforcement learning
/prompt engineering
/quantization
this 185-page book unlocks the secrets of deep learning.
/machine learning
/training methods
/activation functions
/pooling
/dropout
/attention
/cnns
/attention
/image classification
/object detection
/speech recognition
/reinforcement learning
/prompt engineering
/quantization
/machine learning
/training methods
/activation functions
/pooling
/dropout
/attention
/cnns
/attention
/image classification
/object detection
/speech recognition
/reinforcement learning
/prompt engineering
/quantization
February 11, 2026 at 12:34 PM
this 185-page book unlocks the secrets of deep learning.
/machine learning
/training methods
/activation functions
/pooling
/dropout
/attention
/cnns
/attention
/image classification
/object detection
/speech recognition
/reinforcement learning
/prompt engineering
/quantization
/machine learning
/training methods
/activation functions
/pooling
/dropout
/attention
/cnns
/attention
/image classification
/object detection
/speech recognition
/reinforcement learning
/prompt engineering
/quantization
Reposted by Rohit Kumar Tiwari
I created this clear step-by-step guide on llms.
easy to understand, even if you are new to ai.
/tokenization
/word based tokenization
/subword based tokenization
/character based tokenization
/why subwords?
/token embeddings
/positional embeddings
/complete input pipeline
easy to understand, even if you are new to ai.
/tokenization
/word based tokenization
/subword based tokenization
/character based tokenization
/why subwords?
/token embeddings
/positional embeddings
/complete input pipeline
February 10, 2026 at 1:12 PM
I created this clear step-by-step guide on llms.
easy to understand, even if you are new to ai.
/tokenization
/word based tokenization
/subword based tokenization
/character based tokenization
/why subwords?
/token embeddings
/positional embeddings
/complete input pipeline
easy to understand, even if you are new to ai.
/tokenization
/word based tokenization
/subword based tokenization
/character based tokenization
/why subwords?
/token embeddings
/positional embeddings
/complete input pipeline
I created this clear step-by-step guide on llms.
easy to understand, even if you are new to ai.
/tokenization
/word based tokenization
/subword based tokenization
/character based tokenization
/why subwords?
/token embeddings
/positional embeddings
/complete input pipeline
easy to understand, even if you are new to ai.
/tokenization
/word based tokenization
/subword based tokenization
/character based tokenization
/why subwords?
/token embeddings
/positional embeddings
/complete input pipeline
February 10, 2026 at 1:12 PM
I created this clear step-by-step guide on llms.
easy to understand, even if you are new to ai.
/tokenization
/word based tokenization
/subword based tokenization
/character based tokenization
/why subwords?
/token embeddings
/positional embeddings
/complete input pipeline
easy to understand, even if you are new to ai.
/tokenization
/word based tokenization
/subword based tokenization
/character based tokenization
/why subwords?
/token embeddings
/positional embeddings
/complete input pipeline
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