In the realm of deep learning frameworks, a significant 70% of large corporations favor TensorFlow for its production flexibility. This statistic underscores TensorFlow’s dominance in industry settings. On the other hand, PyTorch enjoys widespread use in academic and research environments. For professionals aiming at data science and machine learning engineering roles, choosing the right framework to master is crucial. TensorFlow, often approached through its user-friendly interface Keras before advancing to more complex TensorFlow functionalities, presents a strategic learning path for those targeting industry positions. Meanwhile, PyTorch, while less prevalent in corporate settings, remains a valuable skill for those engaged in research and academia. This dichotomy highlights the importance of aligning one’s learning goals with career aspirations in the tech industry.
Mr. Jack
@MrJack6590
·
10m 10. DeepMind
Acquired by Google, DeepMind is known for its breakthroughs in reinforcement learning and deep learning, with notable achievements like AlphaGo and AlphaFold, contributing to advancements in various scientific fields.
http://deepmind.com
merve
@mervenoyann
·
Jan 28 JUST IN: Inference Providers at
@huggingface
Hub
Use
@FAL
@SambaNovaAI
@togethercompute
@replicate
on
@huggingface
to infer gigantic models like DeepSeek R1 from model page or through our client SDKs (Python, JS)/HTTP calls
Jaynit Makwana
@JaynitMakwana
·
Mar 31 4. DeepLearningAI
DeepLearningAI was founded by Andrew Ng.
The platform has become one of the most fast-growing, and popular learning platforms for AI.
http://youtube.com/@Deeplearningai
Yarnit
@YarnitApp
·
Apr 2 Struggling with content demands & personalization? At #StartupMahakumbh, see how Yarnit’s Agentic AI transforms marketing—anticipating, adapting & delivering insights. Proudly, enabled by NASSCOM DeepTech.
#YarnitIntelligence #EnterpriseAI #NASSCOMDeepTech
Manish Kumar Shah
@manishkumar_dev
·
Apr 2 18. DeepSeek
Chinese AI startup that has gained recognition for its efficient and cost-effective large language models.
It is designed to excel at reasoning tasks, such as solving math problems, writing code, and answering complex questions that require logical thinking.
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