Amina

[Amina @An18421]

@BiggBoss_Tak Did you really watching show or only raig betting

[̶Masakali🪽 @masakalii777]

Latest LockUpp2 episode highlighted smart strategy
Every decision carried clear intention
Gameplay reflected strong confidence levels

THE SHREYA KALRA SHOW

[Varsha @chaoticpetal1]

You know an episode delivered when Shreya was at the center of it.

THE SHREYA KALRA SHOW

[Shubhra Tripathi @Shubhra29868565]

Respect is earned by actions, not demanded by words.

#ShreyaKalra #LockUpp2

THE SHREYA KALRA SHOW

[AB @AashiBajpai92]

Her dominance is evident

THE SHREYA KALRA SHOW

[Varsha @chaoticpetal1]

Some people create content. Shreya creates conversations.

THE SHREYA KALRA SHOW

[Varsha @chaoticpetal1]

She gives emotions, entertainment and unforgettable moments in one package.

THE SHREYA KALRA SHOW

[🫧 @iluvv_floweryy]

SHREYA KNEW AKANKSHA IS IN THE SECRET ROOM AND WATCHING THEM FROM THE ROOM!!
Girl got actual skills I must say and taunting her right through the cameras!!!💀
#lockupp #lockupp2

[Amina @An18421]

@LoyalSachinFan @CricCrazyJohns Did you watch pak & aus vs Bangladesh?

[Anamika Mishra @AI_Anamika]

Disappear for the next 6 months.

Do these 11 things.

You'll come back with more skills, money, confidence, and focus than 95% of people.

🧵

[Amina @An18421]

Average: #1 📈
Strike Rate: #11 ⚡

Shubman Gill isn't just accumulating runs—he's redefining ODI batting.

ODI GOAT? 👀🇮🇳

[Amina @An18421]

@KantInEastt If India ever beats a top football nation, you'll see celebrations even bigger than this.

[Amina @An18421]

@Warlock_mohit Cm is constitutional post not Rebel group

[Amina @An18421]

@SloggSweep Pakistan

[Amina @An18421]

@bandaofrabb Ganja pike tweet Kiya kya

[Amina @An18421]

@Rcb_Xtra Mixing format?

[Amina @An18421]

@prasannalara In hindsight

[Dhairya @dkare1009]

Anthropic AI team just dropped the Prompting Playbook for Claude that beats most paid courses.

33-minutes. Free. By the Anthropic team.

Control case + edge cases + knowing when to hand off to a human = a real eval suite.

Worth more than any $500 prompt-engineering course.

[Amina @An18421]

@naviyoisback Butler also

[Dhairya @dkare1009]

Most AI engineers focus on the model.

The smart ones focus on what happens BEFORE the model is called.
Caching in AI systems is one of the most underrated performance levers.

Here's the complete breakdown ��� 4 layers, every engineer should know:
Layer 1 — Prompt Cache Exact same prompt? Skip the LLM entirely. Key: Prompt text → Value: Stored response Best for FAQs, repeated queries, predictable inputs.

Layer 2 — Semantic Cache "What is AI?" and "Explain artificial intelligence" mean the same thing. Use embeddings + cosine similarity to detect intent — not just text. Different words. Same answer. No new API call.

Layer 3 — Retrieval Cache (RAG) Vector search costs 80–300ms per query. Cache the top-k documents for a semantic query instead of re-running it. Your RAG pipeline gets faster without touching the model.

Layer 4 — KV Cache (Inside the Transformer) Every new token attends to all past tokens — expensive by design. KV cache stores Key + Value vectors so you skip the recomputation. Faster generation. Lower compute cost.
The math is simple: 100 users ask the same question. Without cache → 100 API calls With cache → 1 API call

The infrastructure that makes this work: → Redis for exact prompt caching → FAISS for semantic similarity → Elasticsearch for hybrid retrieval → Python Dict for local prototyping

And don't forget TTL. Set cache expiry based on how fast your data changes — not as an afterthought.

News chatbot → 1 hour TTL Static knowledge base → days or weeks

When NOT to cache: ✗ Real-time volatile data (stock prices, live scores) ✗ Highly personalized responses ✗ Sensitive data like banking or medical records
Build smarter. Not just bigger.

Want to understand how caching works in AI?

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