Instagram story viewer> @kayle_smallz> Post
Kaylesmallz(kayle_smallz)'s profile avatar

Kaylesmallz

@kayle_smallz

2 months ago
Download
0
Posted On: August 4th 2026, 09:08 pm

More posts

#insta # police जे एकनिष्ठ असतात ते प्रत्येकासाठी वेडे नसतात 💫🙌🏻🌷
A man would never have both testicles removed and be sent home without testosterone. So why is it still happening to women? Every day I speak to women who have had both their ovaries removed and were never told their body would suddenly stop making progesterone, estrogen and testosterone and they should be prescribed hormone treatments. After a hysterectomy, many women are only offered estrogen, as if that’s the only hormone their ovaries ever made. Which is wrong. A new study has once again shown a higher risk of diseases and earlier death in women who have had both their ovaries removed, especially at a young age. This has been known for decades though yet ignored by too many clinicians. This has to change. If gynaecologists are reducing levels of a woman’s hormones by removing their ovaries, they must talk to them about prescribing these hormones for them. Training for healthcare professionals needs to improve, and women deserve the choice to take all three hormones after surgery. #HormoneHealth #Hysterectomy #SurgicalMenopause #WomensHealth #Testosterone
SUPER SHNAIDER ⭐️ @_di_shnaider_ defeats No.6 seed Muchova to move into the quarterfinals in Wuhan! #dongfengvoyahwuhanopen
Comment “SKILLS” and I’ll send you a learning guide for every skill on these lists 👇 Here’s what to actually master for each role: AI / ML Engineer: Python, PyTorch, Transformers, RAG, LangChain and FastAPI. GenAI Engineer: LLMs, prompt engineering, RAG, embeddings, fine-tuning and guardrails. MLOps Engineer: Linux, Docker, Kubernetes, CI/CD, MLflow and model monitoring. AI Research Scientist: Linear algebra, probability, optimization, deep learning, JAX and paper implementation. Agentic AI Engineer: LangGraph, MCP, CrewAI, tool calling, agent memory and context engineering. Machine Learning Engineer: NumPy, Pandas, Scikit-learn, TensorFlow, feature engineering and model training. Data Scientist: SQL, statistics, probability, machine learning, Power BI or Tableau and A/B testing. Pick one role, follow its list, and you’ll always know what to learn next instead of guessing. how to become an ai engineer, ai roadmap 2026, learn ai for beginners, genai engineer skills, mlops roadmap for beginners, how to become a data scientist, machine learning engineer roadmap, agentic ai for beginners, what is mcp in ai, what is rag in ai, langchain tutorial, skills needed for ai jobs, ai research scientist path, python for machine learning, switch career to ai, best ai skills to learn #ArtificialIntelligence #MachineLearning #GenAI #AgenticAI #AIEngineer
Comment NEED IT NOW for my perfect pot roast recipe 😋 So fast you can make it on a weeknight no problem
Bringing Judge Stone to life alongside James Patterson has been an incredibly rewarding experience. To the Recording Academy voting members, thank you for your time and consideration. ❤️ #FYC #GRAMMYs #JudgeStone
back to up