Just a request to everyone, folks! 🇮🇳
Keep supporting Indian players & teams throughout the year like this!!! 🙏
You can praise them or criticise them, just keep talking about them.
Keep following them. Keep supporting them.
ONE DAY, WE’RE GONNA BE A TRULY SPORTING NATION WITH LOTS OF CHAMPIONS! 🇮🇳🥹
- Tanmay, The Khel India 🫡
For most of this period, @PCMohanMP was MP and @ArvindLBJP was MLA under BJP Govt. What was your contribution?
Even now you are MP and @MALimbavali is MLA, what has changed? Did any of you ever raise this issue in Parliament or Assembly?
Forest land acquisition delay is a lame excuse. Does the Forest Dept report to the US or UK Govt? It reports to your own government.
Both of you have been most lethargic and never thought about the people who elected you.
Under your govt and the previous & current Congress & JD(S) govts, you have all given approvals for apartments, schools, commercial complexes hand-in-glove with builders & real estate mafia. Now all 3 parties point fingers at each other just to misguide people.
How can such schools & apartments be permitted without minimum common facilities or even a basic connecting road?
Unfortunately, our people also lack common sense. They buy apartments and admit children to such schools without thinking of future consequences.
It's time people show some maturity and avoid buying such properties. That itself will force builders - who are part of politicians - to provide at least minimum basic infrastructure to sell their properties.
SH 35 land acquisition issues have been bandied as a reason for more than a decade. We have gone to the Space and back in less time.
Let’s not give that excuse @MALimbavali. Along with your husband @ArvindLBJP , you have represented Mahadevapura for 4 terms / 19 years.
Varthur - Gunjur stretch is a disaster that has been manufactured due to the apathy of our representatives and administration.
Redis built a cache that cuts LLM costs by 90%!
Production LLM apps do not receive completely new questions every time.
A customer-support assistant might receive all three of these:
- "Can I get a refund after buying the monthly plan?"
- "Is the monthly subscription refundable?"
- "Can I cancel the plan and get my money back?"
The wording is different, but the underlying question and its answer remain the same.
Yet LLM apps process every version as a new request. They assemble the prompt, send it to the model, and generate an answer that may have already been generated.
Prefix caching reduces part of these repeated calls.
When requests begin with the same system prompt or context, the model can reuse the KV states already computed for that shared prefix.
But the request still hits the LLM. The new tokens must be processed, and the complete answer must still be decoded.
So even with a prefix-cache hit, there's another generation call involved.
To solve this, instead of only caching computation inside the model, the application can cache the generated response outside it.
When another question arrives, the system embeds it and compares it with previously answered questions. If it finds a sufficiently close match, it returns the stored response without invoking the LLM again.
A cache hit removes the input tokens, output tokens, and decoding time associated with another LLM call.
In practice, it is important to decide which questions can safely share an answer since a production setup needs well-tuned similarity thresholds, expiration policies, data isolation, and monitoring for incorrect matches.
If you want to use this in practice, @Redisinc already implements it as a managed service called Redis LangCache.
Under the hood, it generates embeddings, searches previous responses, and returns a matching answer before another model call occurs.
Redis also handles access scopes, custom filtering, TTL and eviction controls, and cache monitoring through Redis Cloud.
I built an interface to compare it against direct LLM inference. The video below shows this in action, and I worked with Redis on this post to put this together.
For the paraphrased question in my run, direct inference took 2.232 seconds and consumed 514 input tokens plus 250 output tokens.
Redis returned the earlier response in 0.37 seconds with zero LLM input or output tokens. That was roughly 6x faster in this run.
Redis reports API cost savings of up to 90% and cache-hit responses up to 15x faster. The actual result depends on how much safe repetition exists in the workload.
You can try Redis LangCache here: https://t.co/zay48dIaXN
If you want to dive deeper, I have already written a detailed breakdown of KV, prefix, prompt, and semantic caching in the article quoted below. This demo builds on the final technique and shows it running in practice.
Read it below.
Day 52: Varthur’s bottleneck is completely man-made. 🛑
@DKShivakumar@krishnabgowda sir, every single day we are stuck for hours because the 140-ft Gunjur CDP link to ORR is left unfinished & SH-35 widening has come to a standstill. Why are taxpayers ignored? 1/2
Modi govt destroyed the ISI-backed terror group Shahzad Bhatti Network ahead of Independence Day and thwarted its plans for subversive attacks by arresting more than 200 operatives.
Indian security forces ripped apart the network by launching coordinated operations across different locations in 14 states upholding a brilliant example of India's zero-tolerance towards terrorism.
Substantial recoveries, including IEDs, grenades bearing Pakistan Ordnance Factory markings, pistols, live cartridges, and CCTV cameras used for espionage, were made from the ISI-funded group. The network was involved in several terrorist activities.
So for @DKShivakumar the Education Minister of Karnataka, Madhu Bangarappa does not have to resign. Going forward (forget what happened in the past), District Commissioner's will be responsible for any paper leak. Not the Minister. How convenient.
Narendra Modi could have said the same thing.
What do you have to say @RahulGandhi? Different Strokes for Different Folks?
Presenting Karnataka's roadmap to become India's AI Capital, Hon'ble Chief Minister Shri @DKShivakumar has announced:
• India's first and largest AI University in Bengaluru on a 100-acre world class campus, with regional campuses in Kalaburagi, Belagavi, Hubballi-Dharwad, Mangaluru and Mysuru.
• A dedicated AI Hub alongside the AI University and Karnataka's AI Policy to build a globally competitive AI ecosystem, attract investments and support AI startups.
• AI education from Class VI onwards to equip students with foundational AI skills for the future.
• Two next generation Green Data Centres, one in a coastal district and another near Bengaluru, to strengthen Karnataka's AI and digital infrastructure.
. @JioCare fiber connection is disrupted since yesterday and no support. Service engineers are avoiding and the time slots booked are not respected and frequently rescheduled. I need to work . Get this fixed @reliancejio
Requesting the Government of India - honorable President @rashtrapatibhvn, @PMOIndia to withdraw the fourth highest civilian award bestowed on this quack - to maintain credibility and sanctity of such awards. This is shameful and atrocious. This woman's social media accounts are now being witheld because of legal demands in India due to cognizance of the public health danger she promotes.
In her Padma Award citation, the red-lined sections mentions "claims of" cure of serious illnesses and chronic diseases - this is an outright violation of Drugs and Magic Remedies Act. This woman should be chargesheeted and these "wild" claims investigated. Show some respect to the public you serve @PadmaAwards
Indian public in general maybe 'blind' health illiterates, but not all are! @arunachaltimes_