Running
on
Zero
1
Secure AI Agents Suite
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Execute complex tasks using autonomous AI agents
Rajkumar rawal PRO
rajkumarrawal
AI & ML interests
AI & Blockchain & Robotics
Recent Activity
upvoted
an
article
about 13 hours ago
We Got Claude to Fine-Tune an Open Source LLM
replied to
their
post
about 13 hours ago
September(2025) LLM Core Knowledge & Reasoning Benchmarks Report By https://huggingface.co/AiParivartanResearchLab (AIPRL-LIR)
Monthly LLM's Intelligence Reports for AI Decision Makers :
Our "aiprl-llm-intelligence-report" repo to establishes (AIPRL-LIR) framework for Large Language Model overall evaluation and analysis through systematic monthly intelligence reports. Unlike typical AI research papers or commercial reports. It provides structured insights into AI model performance, benchmarking methodologies, Multi-hosting provider analysis, industry trends ...
( all in one monthly report ) Leading Models & Companies, 23 Benchmarks in 6 Categories, Global Hosting Providers, & Research Highlights
Here’s what you’ll find inside this month’s intelligence report:-
Leading Models & Companies :
https://huggingface.co/openai , https://huggingface.co/Anthropic, https://huggingface.co/meta-llama, https://huggingface.co/deepmind https://huggingface.co/google, https://huggingface.co/mistralai, https://huggingface.co/Cohere, https://huggingface.co/Qwen, https://huggingface.co/deepseek-ai, https://huggingface.co/MicrosoftResearch, https://huggingface.co/amazonwebservices, https://huggingface.co/nvidia, https://huggingface.co/grokgpt-org and more.
23 Benchmarks in 6 Categories :
With a special focus on Core Knowledge & Reasoning performance across diverse tasks.
Repository link is in comments below :
https://huggingface.co/blog/rajkumarrawal/september-2025-aiprl-lir-core-knowledge-reasoning#6935ab96da60512619b7cf1f
replied to
their
post
about 13 hours ago
September(2025) LLM Core Knowledge & Reasoning Benchmarks Report By https://huggingface.co/AiParivartanResearchLab (AIPRL-LIR)
Monthly LLM's Intelligence Reports for AI Decision Makers :
Our "aiprl-llm-intelligence-report" repo to establishes (AIPRL-LIR) framework for Large Language Model overall evaluation and analysis through systematic monthly intelligence reports. Unlike typical AI research papers or commercial reports. It provides structured insights into AI model performance, benchmarking methodologies, Multi-hosting provider analysis, industry trends ...
( all in one monthly report ) Leading Models & Companies, 23 Benchmarks in 6 Categories, Global Hosting Providers, & Research Highlights
Here’s what you’ll find inside this month’s intelligence report:-
Leading Models & Companies :
https://huggingface.co/openai , https://huggingface.co/Anthropic, https://huggingface.co/meta-llama, https://huggingface.co/deepmind https://huggingface.co/google, https://huggingface.co/mistralai, https://huggingface.co/Cohere, https://huggingface.co/Qwen, https://huggingface.co/deepseek-ai, https://huggingface.co/MicrosoftResearch, https://huggingface.co/amazonwebservices, https://huggingface.co/nvidia, https://huggingface.co/grokgpt-org and more.
23 Benchmarks in 6 Categories :
With a special focus on Core Knowledge & Reasoning performance across diverse tasks.
Repository link is in comments below :
https://huggingface.co/blog/rajkumarrawal/september-2025-aiprl-lir-core-knowledge-reasoning#6935ab96da60512619b7cf1f
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