Soham Parekh, the myth, the lore
Had more jobs than a startup’s 404
Ten startups deep, one Google Doc
No code shipped, but he cleared the clock
Slack was lit, Zoom stayed green
Master of presence, left no scene
Now HR asks with quiet dread:
Is he working here or just in our head?
Leading to spiritual awakening !
1. My code doesn't work, I don't know why
2. My code works, idky
3. Why coding, idky
4. Not coding, idky
5. Giving product specs, idky
6. What I am even doing here, idky
7. Why do I even exist, idky
🧘 🧘♀️
Eureka Eureka 🚀🧑🚀👽🌌🦕🐒👨👩💻repeat
I don't have too too much to add on top of this earlier post on V3 and I think it applies to R1 too (which is the more recent, thinking equivalent).
I will say that Deep Learning has a legendary ravenous appetite for compute, like no other algorithm that has ever been developed…
I don't have too too much to add on top of this earlier post on V3 and I think it applies to R1 too (which is the more recent, thinking equivalent).
I will say that Deep Learning has a legendary ravenous appetite for compute, like no other algorithm that has ever been developed…
#NVIDIAAISummit (mumbai) - Great to meet a few ex-colleagues, network with a lot of AI practitioners & startup folks from various backgrounds - healthcare, fintech, e-Commerce, agri, legal, robotics, etc. Amazing problems which folks are trying to solve using AI.
#LLM#GenAI#AI
Calculated saliency score for a toy example over 5 small docs. First impressions - o1 looks far better than 4o. Even term frequency calculation was an issue in 4o. Cool !
#o1#openai#llm#llmreasoning
Calculated saliency score for a toy example over 5 small docs. First impressions - o1 looks far better than 4o. Even term frequency calculation was an issue in 4o. Cool !
#o1#openai#llm#llmreasoning
LM agents are consequential for cybersecurity, both for offense (cyberrisk) and defense (penetration testing). To measure these capabilities, we are excited to release Cybench, a new cybersecurity benchmark consisting of 40 professional Capture the Flag (CTF) tasks:
An agentic extension for RAG is to treat documents as tools and agents instead of just text chunks - this allows you to dynamically interact with these documents beyond getting back a fixed list of chunks.
This is a great blog post by @andysingal and diagram by @clusteredbytes…
An agentic extension for RAG is to treat documents as tools and agents instead of just text chunks - this allows you to dynamically interact with these documents beyond getting back a fixed list of chunks.
This is a great blog post by @andysingal and diagram by @clusteredbytes… https://t.co/BXEPLkZYi6
Hi all, we are happy for all the ❤️ for #DBRX ! If you need the base model on @huggingface we are happy to provide access. Please just give us a reasonable, short justification. Demand is high and we are doing our best to approve requests.
There appears to be a mismatch between publishing criteria in AI conferences and "what actually works". It is easy to publish new mathematical constructs (e.g. new models, new layers, new modules, new losses), but as Apple's MM1 paper concludes:
1. Encoder Lesson: Image…
Do LLMs (jail)break as they are emotional?
LLMs are fuzzy in nature and their semantic space is humongous which leads to a huge attack surface, leaving them vulnerable to several ways in which they can be attacked.
linkedin.com/pulse/do-llms-…#llmsecurity#aisecurity#aisafety
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187 Followers 931 FollowingMachine Learning and Deep Learning enthusiast. Interested in Analytics and https://t.co/cMJU9EL7TJ running, mindfulness. RTs are not endorsements.
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