rajeev arora

IAS(R) Chairman Quality Assurance Authority Haryana

[rajeev arora @RajeevArora87]

@dunkxsol 22

[rajeev arora @RajeevArora87]

@Eloncommentary1 29

[QCI #qualitymatters @QualityCouncil]

Quality Council of India (QCI) signed key MoUs with the Quality Assurance Authority, Haryana, to strengthen the State’s quality ecosystem, in the presence of the Hon’ble Chief Minister of Haryana, Shri Nayab Singh Saini.

The MoUs were signed with QCI’s constituent boards, NABL and NABET, to support quality enhancement across healthcare, laboratories, education and training, public infrastructure and governance through globally benchmarked standards and capacity building.

This collaboration marks a meaningful step towards quality-led governance and supports Haryana’s journey towards efficient, transparent and citizen-centric services, contributing to the national vision of Viksit Bharat 2047.
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@narendramodi | @PiyushGoyal | @NayabSainiBJP | @cmohry | @jaxayshah | @ct_kannan | @RajeevArora87 | Quality Assurance Authority, Haryana | @CimGOI | @DPIITGoI | Dr Sandip Shah | @Varinder_Kanwar | @NABL_QCI | @NABET_QCI

[Quality Assurance Authority Haryana @qaaharyana]

#QAA Haryana Chairman Shri #Rajeev Arora, IAS (Retd.), signed #MoU with @QualityCouncil to strengthen training and capacity building in #Haryana.

The ceremony was attended by the Hon’ble Chief Minister @NayabSainiBJP and senior officials.

@cmohry @mlkhattar @RajeevArora87

[Quality Assurance Authority Haryana @qaaharyana]

#QAA Haryana Chairman Shri #Rajeev Arora, IAS (Retd.), signed #MoU with #NABL for #NABL #accreditation of #labs across #Haryana.

The #ceremony was attended by the Hon’ble #Chief Minister @NayabSainiBJP and senior officials.

@cmohry @mlkhattar @csharyana @RajeevArora87

[Manohar Lal @mlkhattar]

आज नई दिल्ली स्थित अपने कार्यालय संकल्प भवन में विभाग के कर्मचारी साथियों के साथ बैठकर भोजन और चर्चा करने का अवसर मिला।

यह अनुभव मेरे लिए न केवल सुखद था बल्कि आत्मीय अनुभव भी था। सहकर्मियों के साथ बैठकर भोजन करना ,उनके दैनिक जीवन और कार्यों को नजदीक से समझने का अवसर भी है और काम करने की प्रेरणा भी।

यह समय मेरे लिए यादगार रहा।

[Manohar Lal @mlkhattar]

Chaired a joint meeting of the Ministry of Power and the Ministry of Housing & Urban Affairs to review the progress of Waste-to-Energy (WtE) plants.

Directed the departments to accelerate the expansion of WtE projects to ensure scientific waste management, reduce landfill burden, and generate clean energy.

WtE is a critical step in our journey towards a circular economy, sustainable cities, and energy security for a Viksit Bharat.

[Manohar Lal @mlkhattar]

Addressed the 17th National Convention of @NaredcoNational in New Delhi today.

India stands at the cusp of becoming a global leader in sustainable housing and infrastructure. As we create modern cities and world-class facilities, our mission must be guided by energy efficiency, renewable integration, and long-term resilience.

True progress is not just about technology - it is about blending innovation with cultural ethos, ensuring spaces that are inclusive, harmonious, and reflective of India’s identity.

By strengthening the formal economy, we can unlock transparency, stability, and growth - building an India that is not only future-ready, but a model for the world.

[Manohar Lal @mlkhattar]

LIVE: PM Narendra Modi Ji lays foundation stone & inaugurates metro projects in Bengaluru https://t.co/SywAWVJDAG

[rajeev arora @RajeevArora87]

Source: VentureBeat https://t.co/zrRJf4VCFi

[Manoj K Arora @Arora1K]

Heartiest congratulations @drishanarora
Deep Cogito goes big, releasing 4 new open source hybrid models with self-improving intuition. https://t.co/uqvae3tNBZ

[Drishan Arora @drishanarora]

All models we create will be open sourced.

More details in the blog post: https://t.co/ahI3kDZb3D

[Drishan Arora @drishanarora]

The Cogito v1 models can be downloaded on @huggingface or @ollama, and can be accessed via API through @FireworksAI_HQ or @togethercompute.

Each model can answer directly (standard LLM), or self-reflect before answering (like reasoning models).

[Drishan Arora @drishanarora]

Today, we are launching @DeepCogito, where we are building general superintelligence.

We are also releasing open models of 3B, 8B, 14B, 32B, and 70B sizes trained using our research on iterated distillation and amplification (IDA).

From evals so far, each model outperforms the strongest open models at their scale - including those from LLaMA, DeepSeek, and Qwen.

[Drishan Arora @drishanarora]

Data quality has the biggest impact on LLM performance - far more than most algorithmic improvements. As we build models that move towards superintelligence, the paradigm for LLM evaluation would need to evolve to increase the strength of the overseer.

Very excited to see this - Congratulations on the launch!

[Drishan Arora @drishanarora]

More details in the blog post: https://t.co/Q8mcbnyWH9

[Drishan Arora @drishanarora]

The Cogito v2 models can be downloaded on @Huggingface, and can be accessed via API through @TogetherAI or @runpod or @baseten. You can also run them locally using @UnslothAI.

Each model can answer directly (standard LLM), or self-reflect before answering (like reasoning models).

[Drishan Arora @drishanarora]

Today, we are releasing 4 hybrid reasoning models of sizes 70B, 109B MoE, 405B, 671B MoE under open license.

These are some of the strongest LLMs in the world, and serve as a proof of concept for a novel AI paradigm - iterative self-improvement (AI systems improving themselves).

The largest 671B MoE model is amongst the strongest open models in the world. It matches/exceeds the performance of the latest DeepSeek v3 and DeepSeek R1 models both, and approaches closed frontier models like o3 and Claude 4 Opus.

[Unsloth AI @UnslothAI]

You can now run the world’s most powerful Western open models locally!

The hybrid reasoning 671B model matches o3 & Claude-4-Opus in performance.

Trained on Llama 4 & DeepSeek-R1, Cogito-v2 has 4 variants—each setting new benchmarks.

Guide + GGUFs: https://t.co/rHBD0mZGZH

[rajeev arora @RajeevArora87]

@Insta_monk RAM RAM