That’s a remarkable jump, especially the non-reasoning model hitting nearly 98% completion with minimal evasions.
It shows how much thoughtful system prompt engineering and alignment tuning can reshape performance without altering core weights.
This kind of transparency and responsiveness from xAI sets a strong precedent for iterative improvement driven by real-world feedback.
#AIAlignment#ModelTuning#xAI#ResponsibleAI#PromptEngineering
When you're 30 tabs deep into tutorials and still confused... 😩
Luckily, @Yarm_AI is making model fine-tuning less painful and more powerful.
⚙️ Smart tools
🧠 Simplified workflows
📢 Community-first AI
#YarmAI#Web3AI#ModelTuning#OpenSourceAI
"Automation is all about trust", says Ruchir Puri, Chief Scientist at @IBMResearch and an @IBM Fellow. During the #IBMTechXchange conference, I sat down with Ruchir and we discussed the role of AI Agents in SDLC, the operations of our software systems, and how multi-agent applications will be constructed.
We also talked about how the role of developers will change over time.
#AgenticAI is a smart way to reduce hallucinations in GenAI by containing the context within a domain. These agents will keep frontier models tamed and these agents will work with a new breed of Small Language Models improving the economics and reliability of the solutions. Here is a snippet from those talks.
We dug deep into these topics, a snippet is in this tweet but the full video is here: youtu.be/stFC6Cx4nig?si=-45i…#IBMPartner#AIDev#Developers#GenAi#ModelTuning#SLMs#LLMs#FutureOfApplications@TamaraMcCleary@Craw@furrier@dvellante@ShellyKramer@DavidLinthicum@cleartechtoday@RealStrech
6️⃣ Model Tuning: Fine-tuning hyperparameters is crucial for GBMs. You need to adjust parameters carefully. They include learning rate, number of trees, and tree depth. Their tuning is needed to achieve the best performance. #ModelTuning#AIOptimization
Discover the most accurate version of your ML model with SageMaker Automatic Model Tuning! Now you can specify environment variables for your scripts in your tuning jobs with the CreateTuningJob API. #SageMaker#ML#ModelTuning
Compiler space has a popular track as Autotuning using ML. I see no problem ML conferences adding a subtrack as Model (Auto)tuning using ML #ML4ML#AutoML#modelTuning#neurips#ML#NAS#icml
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
abs: arxiv.org/abs/2110.07904
approach matches or even exceeds the performance of MODELTUNING by a large margin across model sizes while being more parameter-efficient (up to 27,000× fewer task-specific parameters)
Hello everyone 🤩🤩
Check out my new article published on @neptune_ai titled
Best Tools For Model Hyperparameter Optimization
neptune.ai/blog/best-tools-f…
Enjoy and share with friends!