rick

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@nitesh_singh5 Interested

[Dhanian 🗯️ @e_opore]

Backend Folder Structure.

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@FNATIC thisisrick25

[Ram @ramxcodes]

Drop your portfolios, i need some inspiration.

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Let's check out everything new with @appwrite from May 19 - 23. Secure your ticket and join us for a week full of awesomeness! 🎉 https://t.co/2fXCd8a5LT

[rick @thisisrick25]

what an insult @realDonaldTrump #ceasefire #IndiaPakistanWar

[pdawg @prathamgrv]

Here you go —

1. Transformers

- Visual intro to Transformers (3b1b) [YouTube]
-nanoGPT & tokenization (Karpathy) [YouTube]
-Decoding strategies in LLMs (Maxime Labonne) [GitHub]

2. Pre training

-Distributed training techniques (Duan et al.) [Paper]
-nanotron: Minimal training framework (Hugging Face) [GitHub]
-Parallel training overview (Chenyan Xiong) [Slides]

3. Post training

-LLM datasets: Curated repo (Maxime Labonne) [GitHub]
-NeMo-Curator: Dataset preparation (NVIDIA) [GitHub]
-Distilabel: Synthetic data generation (Argilla) [GitHub]

4. Supervised fine tuning

-Fine-tune Llama 3.1 with Unsloth (Maxime Labonne) [Blog]
-Axolotl fine-tuning framework (Wing Lian) [Docs]
-LoRA insights & parameters (Sebastian Raschka) [Blog]

5. Alignment

-Fine-tune with DPO (Maxime Labonne) [Tutorial]
-Preference tuning overview (Hugging Face) [Blog]
-RLHF & its alternatives (Sebastian Raschka) [Blog]

6. Evaluation

-Evaluation guidebook (Clémentine Fourrier) [GitHub]
-Open LLM Leaderboard (Hugging Face) [Leaderboard]
-Chatbot Arena: Human evals (LMSYS) [Website]

7. Quantisation

-Intro to quantization + LLM.int8() (Maxime Labonne) [Blog]
-Quantize with llama.cpp + GGUF (Maxime Labonne) [Tutorial]
-4-bit quantization with GPTQ (Maxime Labonne) [AutoGPTQ Tutorial]

[Ritika Agrawal @RitikaAgrawal08]

Component-based Architecture in React 👇

[Lior Alexander @LiorOnAI]

Must read: How to build an LLM inference engine using C++ and CUDA from scratch without libraries.

Andrew Chan shows how to match and beat llama.cpp with a custom Mistral-v0.2 backend.

It runs at 63.8 tok/s (short prompts) and 58.8 tok/s (long) on a single RTX 4090.

[Piyush @CatAstro_Piyush]

literal goldmine. so much to learn here.

[Vexian - Algorithm Alchemist @Vexian]

F*ck it here is a 100k/ Year YouTube channel blueprint

[Lily Xu @lilyxu0]

I'm hiring for a machine learning data scientist & research assistant for summer 2025!

Join me on a project on invasive species management with an innovative startup doing on-the-ground removal of environmentally destructive invasives.

Paid, full-time w/ possibility to extend.

[SumitM @SumitM_X]

As a backend developer living in 2025 ,
Plase learn 👇

1. Cloud-Native Development (AWS/GCP/Azure + Kubernetes) Backend is shifting heavily to scalable, distributed cloud systems. Knowing Kubernetes, Docker, CI/CD, and cloud SDKs is important.

2. Event-Driven Architecture & Messaging Systems learn tools like Apache Kafka, RabbitMQ, and Redis Streams for decoupled, real-time systems.

3. API Design & Documentation (REST + GraphQL + OpenAPI) Clean, versioned, well-documented APIs are non-negotiable. Postman, Swagger, GraphQL skills .

4. Performance Optimization & Observability Know how to profile, trace, and debug performance bottlenecks using Actuator, Prometheus, Grafana, or Jaeger.

5. Security Best Practices Be strong with OWASP, OAuth2, JWT, rate limiting, and zero trust principles.

6. Multithreading, Concurrency, and Reactive Programming Learn Reactor, CompletableFuture, Virtual Threads, and how to design non-blocking systems.

7. AI/ML Integration & Data Engineering Basics Understand how to work with model APIs, data pipelines, I need to invest more time on it

Stop jumping from one language to another !

[Swapna Kumar Panda @swapnakpanda]

When it comes to AI & ML,

You just need these 10 channels. They'll teach you more than any degrees.

[Swapna Kumar Panda @swapnakpanda]

YouTube - FREE, but ❌ Certificates
MDN - FREE, but ❌ Certificates
W3Schools - FREE, but ❌ Certificates

The Top 11 alternatives:

[Yurii Rebryk @rebryk]

Best subreddits for Founders:

r/SaaS
r/startups
r/business
r/MicroSaas
r/SideProject
r/indiehackers
r/ycombinator
r/Entrepreneur
r/smallbusiness
r/Business_Ideas
r/RoastMyStartup
r/growmybusiness
r/AlphaandBetaUsers
r/EntrepreneurRideAlong

What did I miss?

[Quant Science @quantscience_]

I searched 429 algorithmic trading libraries in Python into the 17 best.

These 17 Python repos will teach you more about algorithmic trading than all your professors at school.

Without costing you $150,000:

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@damienghader build

[rick @thisisrick25]

Terrorism has religion, it's Islam.

#PahalgamTerroristAttack

[Prajwal Tomar @PrajwalTomar_]

In last 6 months, I’ve coded 18 MVPs for clients using Cursor.

Here’s my full workflow:

→ Cursor Project Rules
→ Gemini Pro 2.5 for context
→ Sonnet 3.5 for execution
→ CodeGuide for docs

Bookmark this and copy my Cursor AI workflow: ↓