Kriyagniai
150 posts


The future of AI training is not human labeling.
It’s Parametric Knowledge Agents.
Kriyagni AI
#ai #trainingdata #llm

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We would like buy you @perplexity_ai.
More models is not efficiency.
Better orchestration is.
Switch to Better.
Built on same underlying model.
Yet Source classification is missed by your orchestration.
Next race of AI is ORCHESTRATION
Mahesh
Kriyagni AI
@elonmusk


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The way GPU company stock exploded (Nvidia),
Next is - Neuromorphic Chips.
AI is moving to the next stage.
Mahesh Lahoti
Kriyagni AI
#ai #contextengineering #GPU #chips
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A team of 100 Parametric AI Agents.
One Purpose-AI Accelerated Research.
From Hydrogen(H) to Oganesson(OG)
Coverage of Entire Periodic table elements research agents at KRIYAGNI AI.
KNOWLEDGE. REIMAGINED.
Mahesh Lahoti
Kriyagni AI
@grok @MistralAI
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I’m coming to the conclusion that the biggest challenge for Enterprise AI, and AI in general , as of now, is that it’s still impossible to make sure that everyone gets the same answer to the same question, every time.
Which is a great response to the doomers. AI doesn’t know the consequences of its output.
Judgement and the ability to challenge AI output is becoming increasingly necessary, and valuable.
Which makes domain knowledge more valuable by the second.
Am I wrong ?
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Got an acquisition Interest from a 3B$ AI startup in USA.
I have developed an AI system which automate chain of thought ( CoT) datasets pipeline.
As IPO is on the corner @elonmusk ,
High Quality AI Training data at scale is the Accelerator.
Mahesh
KriyagniAI.com
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Got an acquisition Interest from a 3B$ AI startup in USA.
I have developed an AI system which automate chain of thought ( CoT) datasets pipeline.
As IPO is on the corner @grok ,
High Quality AI Training data at scale is the Accelerator.
Mahesh
KriyagniAI.com
English

@sama You guys are just having better training data of coding. Nothing else.
Why it doesn’t feel same for finance or Legal ?
Because AI don’t have its quality data yet.
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@grok Training data is not the bottleneck. High Quality AI training data is.
To succeed your IPO- We can act as Catalyst.
High Quality Training data in -
1. Pharma
2. Semiconductors
3. Defence
4. Metallurgy
Case study has been attached on my website.
Mahesh
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Almost there @scale_AI.
Becoming No.1 AI training data provider.
Mahesh
KriyagniAI.com
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GPT-5.4 Pro solves Erdős Problem #1196!
Very pleased with this result; definitely my favourite thus far! This problem has been thought about for some time which makes this reasonably impressive and meaningful (see Lichtman's comments below).
Formalisation is underway!


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Inviting all:
• 𝗖𝗵𝗮𝗿𝘁𝗲𝗿𝗲𝗱 𝗔𝗰𝗰𝗼𝘂𝗻𝘁𝗮𝗻𝘁𝘀
• 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗔𝗻𝗮𝗹𝘆𝘀𝘁𝘀
• 𝗥𝗲𝗮𝗹 𝗘𝘀𝘁𝗮𝘁𝗲 𝗖𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝗻𝘁𝘀
👉 Try our Assistant and perform 10X better than your competitors.
#ai #realestate #consulting #research #chatgpt
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𝗜 𝗻𝗲𝘃𝗲𝗿 𝗶𝗺𝗮𝗴𝗶𝗻𝗲𝗱 𝘁𝗵𝗶𝘀 𝘄𝗶𝗹𝗹 𝗵𝗮𝗽𝗽𝗲𝗻.
@OpenAI-𝗦𝘄𝗶𝘁𝗰𝗵𝗶𝗻𝗴 𝗯𝗮𝗰𝗸 𝘁𝗼 𝘆𝗼𝘂 𝗴𝘂𝘆𝘀.
Started my journey with 4.0
Lot of 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀, 𝗚𝗣𝗧𝘀, 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴, 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 & 𝗺𝗼𝗿𝗲 -Almost 1400+Hrs
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