Lim Chee Kin 🟧 ⛈️ 🟣

219 posts

Lim Chee Kin 🟧 ⛈️ 🟣

Lim Chee Kin 🟧 ⛈️ 🟣

@limcheekin

Katılım Aralık 2007
67 Takip Edilen20 Takipçiler
Lim Chee Kin 🟧 ⛈️ 🟣 retweetledi
Chip Huyen
Chip Huyen@chipro·
Building a platform for generative AI applications huyenchip.com/2024/07/25/gen… After studying how companies deploy generative AI applications, I noticed many similarities in their platforms. This post outlines these common components, what they do, and implementation considerations. This post starts from the simplest architecture and progressively adds more components. 1. Enhance context input into a model by giving the model access to external data sources and tools for information gathering. 2. Put in guardrails to protect your system and your users. 3. Add model router and gateway to support complex pipelines and add more security. 4. Optimize for latency and costs with cache. 5. Add complex logic and write actions to maximize your system’s capabilities. I try my best to keep the architecture general, but certain applications might deviate. As always, feedback is appreciated!
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Cosmin Negruseri
Cosmin Negruseri@cosminnegruseri·
Traditional Search is getting updated in the post ChatGPT Era and is getting democratized. Traditional systems involve many steps: - Crawling, Indexing, Filtering, Deduplication - Query Understanding - User Understanding/Personalization - Document Understanding - Multiple Candidate Generators - Multiple Ranking Layers - Business Logic Integration These steps create a list of 10 blue links. In the post-ChatGPT world, LLMs can improve or replace many search components: - Better Document Understanding: Use LLMs to summarize and extract information from documents. - User Understanding: Use LLMs to understand what users like and engage with. - Answer Generation: Provide direct answers with references, not just blue links. - Ranking: Let LLMs rank answers based on relevance and quality. - Quality Rating and evaluation: Use LLMs to rate the quality of answers, reducing the need for manual raters. Think of it as having a smart high schooler to improve or replace any part of the old search system. This intelligence is democratized, building a search system is no longer only for big companies with lots of resources and having historical user actions.
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meow
meow@weremeow·
Doing a PPP memecoin experiment that might or might not involve airdrops. To be part of it, QT this w your address (or just RT & reply) To kick it off, here’s mine: AS3yMXa5yPRFeLgsdQkFR1KxBowExSY1JUzRGZj8iAMu If we get enough real participants, the experiment will proceed 🐱
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MANTRA | The EVM L1 for RWAs
MANTRA | The EVM L1 for RWAs@MANTRA_Chain·
The yield-bearing $USDY Vault is launching soon! Register now to be the first one in when the vault goes live. ✅ Sign up here: hongbai.io/sign-up $USDY offers stable, high-quality yield secured by short-term US Treasuries. In addition to the underlying yield, @OndoFoundation and #MANTRA have Incentivized the vault with $ONDO and mainnet $OM, which participants will receive when the MANTRA mainnet launches! 📌 Vault opens on Ethereum and Base Chain. #HomeForRWAs (NOTE: USDY is not, and may not be, offered, sold or otherwise made available in the US or to US persons. USDY also has not been registered under the US Securities Act.)
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Pryzm
Pryzm@Pryzm_Zone·
Air, Water, Amber, Zircon, and Diamond. Climb the exciting ranks in our Discord server alongside other yield masters and claim your spot as the most refractive element there is. discord.com/invite/pryzm Let’s get Pryzmatic. Who will become Diamond Refractooor first? 💎
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Boxmining
Boxmining@boxmining·
Why aren't you bullish enough on @MANTRA_Chain? - Smart money is accumulating $OM - UAE's regulated Zand Bank is working with Mantra on RWA integration - No more VC unlocks, 30% supply staked off-exchange - $ONDO USDY vault is launching on Mantra You can farm $OM now for free just by interacting with Hongbai Incentivized testnet. Full video: youtube.com/live/SuWWZ4-Ha…
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Jayant Ramanand
Jayant Ramanand@jayantramanand·
1/ Innovation designed to bypass regulation limits its adoption in the industry. Some of these ideas have helped shape my view in how we build @MANTRA_Chain Fleshed out further in the chapter - "Working With, Not Against" Link below
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