Media Summary: In this video, I demonstrate my approach to the Teaching Gemma 2 2B-IT to Show Its Work: V1 on Unlock the full potential of your large language models with

Google Tunix Hackathon Transparent Llm Reasoning Example Baseline Walkthrough Kaggle Tunix - Detailed Analysis & Overview

In this video, I demonstrate my approach to the Teaching Gemma 2 2B-IT to Show Its Work: V1 on Unlock the full potential of your large language models with This video demonstrates how Gemma-3-1B can be trained to produce structured, step-by-step Building Pinocchio-1B: Training Gemma 3-1B to Reason in 9 HoursWe transformed Gemma 3-1B into a Small Language Models often hallucinate logic. For the

While Large Language Models (LLMs) offer incredible general capabilities, they often lack the specific domain expertise required ... In this video, I look at LangExtract, a library from

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Google Tunix Hackathon: Transparent LLM Reasoning Example + Baseline Walkthrough | Kaggle | Tunix
LLM Tuning Competiion - First Look Live Stream
Teaching Gemma Model To Show Its Work Through Reasoning With Tunix : Google Tunix Hackathon
How to fine-tune LLMs for with Tunix
TunixChain: AI Shows Every Step | Google Tunix Hackathon Demo
Teaching Gemma to Show Its Work with Tunix (SFT + GRPO on Kaggle TPU)
Pinocchio1B - Teach a model to think #tunix  #kaggle  #reasoningmodels
Google Tunix Hack - Train a model to show its work
DeepLogic: Verifiable Reasoning with Tunix & Gemma - Google Tunix Hackathon Submission
Google X Kaggle Tunix Hack Program 2025 || Google Amazing Prizes || Register Now
MetaMind Tuner: A Self-Evaluating LLM Agent | Kaggle x Google AI Capstone
Fine-tuning open LLMs on GKE: The implementation gap
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Google Tunix Hackathon: Transparent LLM Reasoning Example + Baseline Walkthrough | Kaggle | Tunix

Google Tunix Hackathon: Transparent LLM Reasoning Example + Baseline Walkthrough | Kaggle | Tunix

In this video, I demonstrate my approach to the

LLM Tuning Competiion - First Look Live Stream

LLM Tuning Competiion - First Look Live Stream

Join the

Teaching Gemma Model To Show Its Work Through Reasoning With Tunix : Google Tunix Hackathon

Teaching Gemma Model To Show Its Work Through Reasoning With Tunix : Google Tunix Hackathon

Teaching Gemma 2 2B-IT to Show Its Work: V1 on

How to fine-tune LLMs for with Tunix

How to fine-tune LLMs for with Tunix

Unlock the full potential of your large language models with

TunixChain: AI Shows Every Step | Google Tunix Hackathon Demo

TunixChain: AI Shows Every Step | Google Tunix Hackathon Demo

TunixChain — our submission for the

Teaching Gemma to Show Its Work with Tunix (SFT + GRPO on Kaggle TPU)

Teaching Gemma to Show Its Work with Tunix (SFT + GRPO on Kaggle TPU)

This video demonstrates how Gemma-3-1B can be trained to produce structured, step-by-step

Pinocchio1B - Teach a model to think #tunix  #kaggle  #reasoningmodels

Pinocchio1B - Teach a model to think #tunix #kaggle #reasoningmodels

Building Pinocchio-1B: Training Gemma 3-1B to Reason in 9 HoursWe transformed Gemma 3-1B into a

Google Tunix Hack - Train a model to show its work

Google Tunix Hack - Train a model to show its work

Google Tunix

DeepLogic: Verifiable Reasoning with Tunix & Gemma - Google Tunix Hackathon Submission

DeepLogic: Verifiable Reasoning with Tunix & Gemma - Google Tunix Hackathon Submission

Small Language Models often hallucinate logic. For the

Google X Kaggle Tunix Hack Program 2025 || Google Amazing Prizes || Register Now

Google X Kaggle Tunix Hack Program 2025 || Google Amazing Prizes || Register Now

Google

MetaMind Tuner: A Self-Evaluating LLM Agent | Kaggle x Google AI Capstone

MetaMind Tuner: A Self-Evaluating LLM Agent | Kaggle x Google AI Capstone

MetaMind Tuner —

Fine-tuning open LLMs on GKE: The implementation gap

Fine-tuning open LLMs on GKE: The implementation gap

While Large Language Models (LLMs) offer incredible general capabilities, they often lack the specific domain expertise required ...

LangExtract - Google's New Library for NLP Tasks

LangExtract - Google's New Library for NLP Tasks

In this video, I look at LangExtract, a library from