Alyona Vert.

Alyona Vert.

Joined Turing Post in April 2024. Studied control systems of aircrafts at BMSTU (Moscow, Russia), where conducted several researchers on helicopter models. Now is more into AI and writing.

AI 101AI 101
What is MoE 2.0? Update Your Knowledge about Mixture-of-experts

What is MoE 2.0? Update Your Knowledge about Mixture-of-experts

The fresh angle on current Mixture-of-Expert. We discuss what new MoE techniques like S'MoRE, Symbolic-MoE, and others mean to the next generation AI

Alyona Vert.
Alyona Vert.
AI 101AI 101
Topic 36: What is Causal AI?

Topic 36: What is Causal AI?

we lift the curtain on what Causal AI is, its main principles, and how it can influence our world

Alyona Vert.
Alyona Vert.
AI 101AI 101
Topic 35: What are World Models?

Topic 35: What are World Models?

A deep dive into the history and current advancements in world models and why they are an important puzzle piece for the future of AI

Alyona Vert.
Alyona Vert.
AI 101AI 101
Topic 34: Things You Need to Know About Inference

Topic 34: Things You Need to Know About Inference

we dive into the core aspects of AI inference, explore how it works and what can make it faster

Alyona Vert.
Alyona Vert.
AI 101AI 101
Topic 33: Slim Attention, KArAt, and XAttention Explained – What’s Really Changing in Transformers?

Topic 33: Slim Attention, KArAt, and XAttention Explained – What’s Really Changing in Transformers?

We explore three advanced attention mechanisms which improve how models handle long sequences, cut memory use and make attention learnable

Alyona Vert.
Alyona Vert.
AI 101AI 101
Topic 32: What is Qwen-Agent framework? Inside the Qwen family

Topic 32: What is Qwen-Agent framework? Inside the Qwen family

we discuss the timeline of Qwen models, focusing on their agentic capabilities and how they compete with other models, and also explore what is Qwen-Agent framework and how you can use it

Alyona Vert.
Alyona Vert.
AI 101AI 101
Topic 31: How to Reduce Memory Use in Reasoning Models

Topic 31: How to Reduce Memory Use in Reasoning Models

we explore how combining LightThinker and Multi-Head Latent Attention cuts memory and boosts performance

Alyona Vert.
Alyona Vert.
AI 101AI 101
Topic 30: Everything You Need to Know about Knowledge Distillation

Topic 30: Everything You Need to Know about Knowledge Distillation

This is one of the hottest topics thanks to DeepSeek. Learn with us: the core idea, its types, scaling laws, real-world cases and useful resources to dive deeper

Alyona Vert.
Alyona Vert.
AI 101AI 101
Topic 29: Inside the family of Smol models

Topic 29: Inside the family of Smol models

We explore the power of datasets and their integration in Hugging Face's small language models family, particularly in SmolLM2.

Alyona Vert.
Alyona Vert.
AI 101AI 101
Topic 28: What is Mixture-of-Mamba?

Topic 28: What is Mixture-of-Mamba?

we discuss how to enable the Mamba Selective State Space Model (SSM) to handle multimodal data using the Mixture-of-Transformers concept and modality-aware sparsity

Alyona Vert.
Alyona Vert.