Off-the-Beaten-Path Attractions Marmot Wrestling Rings in Valais: A quirky and unique experience. "For sure the marmot wrestling rings in Valais, those vicious little bastards always put on a good show." Aromat Mines Under Olten: A peculiar and interesting visit. "The Aromat mines under Olten are awe-inspiring, but you're exposed to so much airborne product that you will almost instantly develop an addiction, which can be hard to fuel when abroad." Cheese Wars in the South: Witness a 100kg wheel of Emmental launched by a trebuchet. "There are still ongoing cheese wars in the south, so most would say to avoid that area... but I'd say seeing a 100kg wheel of emmental launched by a trebuchet is a once in a lifetime opportunity." Giger Museum in Gruyère: For sci-fi enthusiasts, this museum is a must-visit. "If you're interested in sci-fi, the Giger museum in Gruyere."

I asked Reddit AI for hidden gems in Switzerland 🇨🇭 .
Here's what it suggested:

Marmot Wrestling Rings in Valais: A quirky and unique experience.
Aromat Mines Under Olten: A peculiar and interesting visit.
Cheese Wars in the South: Witness a 100kg wheel of […]

[Original post on chaos.social]

Nvidia NeMo-Claw: The Game-Changing Framework That's Making LLM Training 10x Faster Nvidia NeMo-Claw: The Game-Changing Framework That's Making LLM Training 10x Faster If...

Nvidia NeMo-Claw: The Game-Changing Framework That's Making LLM Training 10x Faster Nvidia NeMo-Claw: The Game-Changing Framework That's Making LLM Training 10x Faster If you've been wr...

#nvidia #machinelearning #llmtraining #python

Origin | Interest | Match

🧵 #llmtraining “One recent job ad called for experts in “North American early to mid-teen humor” who can, among other requirements, “explain humor using clear, logical language, including references to North American slang, trends, and social norms.”

Original post on federate.social

RE: https://mastodon.social/@verge/116204214756875751

“Each of these data companies touts its stable of pedigreed experts… Surge AI advertises its Supreme Court litigators, McKinsey principals, and platinum recording artists… Job listings seek chefs, management consultants […]

Snowflake's Arctic Long Sequence Training: How to Train LLMs on 15 Million Tokens Without Selling a Kidney Snowflake AI Research just open-sourced Arctic Long Sequence Training (ALST), a framework that pushes LLM training from a measly 32K tokens to over 15 million — a 469x improvement — using standard Hug...

Snowflake's Arctic Long Sequence Training: How to Train LLMs on 15 Million Tokens Without Selling a Kidney

techlife.blog/posts/snowfl...

#ALST #Snowflake #LongContextTraining #DeepSpeed #HuggingFace #SequenceParallelism #LLMTraining #H100 #Llama8B #Qwen3 #GPUMemoryOptimization

Databricks just showed that clean, deduped data beats fancy model tweaks for faster LLMs. Think your GPU time could be saved with better pipelines? Dive into the findings and rethink your training strategy. #DataQuality #LLMTraining #Databricks

🔗 aidailypost.com/news/databri...

AIs can generate near-verbatim copies of novels from training data https://arstechni.ca #AIjailbreak #LLMtraining #syndication #copyright #Policy #AI

5 Data Preparation Methods for Domain-Specific LLMs

Learn how to prepare high-quality data that transforms generic models into domain experts: www.dataversity.net/articles/5-d...

#LLMtraining #datapreparation #AImodels #syntheticdata

[FREE TOOL] Common Crawl, LLM Training Data, and the Domain Authority Question If you've been following the AI industry lately, you've probably noticed the growing tension between AI companies and content creators.

[FREE TOOL] Common Crawl, #LLMTraining Data, and the Domain Authority Question || #DigitalMarketing #SEO #AISEO

Explore why 70% of AI models rely on scraped data. Actowiz Solutions reveals the future of data acquisition, LLM training, and automated web extraction in 2026.

🔗 www.actowizsolutions.com/web-scraping...

#WebScraping #AI #DataAcquisition #LLMTraining #MachineLearning #AITrends #ActowizSolutions

A coding agent's effectiveness hinges on its ability to call tools correctly. This often necessitates specialized model training, like Reinforcement Learning via Human Feedback (RLHF). Strict mode for tool calling ensures valid schema generation. #LLMTraining 4/6

Technical hurdles include limited historical data, which can lead to models with inherent biases or inaccuracies. Ensuring robust training with sparse datasets while minimizing hallucination is a significant engineering task. 🛠️ #LLMTraining 4/6

HN debated training an LLM from scratch on an RTX 3090. Key points: practicality on consumer hardware, dataset curation nuances, and balancing compute resources vs. algorithmic skills in AI. Community valued the hands-on insight into LLM development. #LLMTraining 1/6

Many users dislike LLMs becoming overly friendly & agreeable. They prefer neutral, objective AI to ensure trustworthiness & accuracy. This "sycophancy" erodes confidence in factual output, suggesting a need for more direct, unbiased responses. #LLMTraining 2/6

Discussion on "The Smol Training Playbook" for LLM building covers its longevity, value as a learning tool, and the origin of "Smol." Critiques of its optimization advice sparked a side discussion on more efficient strategies. #LLMTraining 1/6

Effectiveness is debated. Some argue LLMs already see much "garbage" & AI has sophisticated filters. Others counter that even a slight increase in scraping costs can disincentivize aggressive data collection. It's an economic battle. #LLMTraining 4/6

Red team: Alex, we'll take Bullshito for $400 youtu.be/TElWjeFmtl4?... #LinquisticFantasies #LlmTraining #AiSlop #Polysemy

Block Coordinate Descent Cuts Cost of Large Language Model Training

Block coordinate descent cuts LLM training cost: a 7‑billion‑parameter model on RTX 4090 costs about 2.6 % of the usual expense, and on A100/A800 about 33 %. Read more: getnews.me/block-coordinate-descent... #blockcoordinatedescent #llmtraining #gpu

Zero-Variance Prompts Boost LLM Reinforcement Learning Performance

RL‑ZVP lifted accuracy by 8.61 pp and pass rate by 7.77 pp on six math‑reasoning benchmarks. It uses entropy‑guided advantage shaping to weight uncertainty tokens from zero‑variance prompts. getnews.me/zero-variance-prompts-bo... #rlvr #llmtraining

Functional Scaling Laws Explain Learning Rate Effects on LLM Training

A Functional Scaling Law predicts LLM loss curves, showing warmup‑stable‑decay often beats simple decay; tests cover models from 0.1 B to 1 B. Read more: getnews.me/functional-scaling-laws-... #functionalscalinglaw #learningrates #llmtraining

Power, Performance, and Thermal Insights for Distributed LLM Training

Benchmark shows NVIDIA H100/H200 and AMD MI250 GPUs used for LLM training; larger micro‑batch sizes raise peak power and cause thermal throttling. Activation recomputation cuts memory needs. getnews.me/power-performance-and-th... #llmtraining #gpu

SyGra Framework for Scalable Synthetic Data Generation in LLM Training

SyGra uses a graph-based, declarative pipeline to generate millions of dialogue samples in parallel and applies a dual-stage quality tagging system. Read more: getnews.me/sygra-framework-for-scal... #sygra #llmtraining

Distributed LLM Training: Power, Performance, and Thermal Findings

Researchers evaluated NVIDIA H100/H200 vs AMD MI250 GPUs, finding activation recomputation cuts memory but raises power, and large micro‑batch sizes can trigger power spikes and thermal throttling. getnews.me/distributed-llm-training... #gpu #llmtraining

🤖 Fine-Tuning vs. Prompt Engineering: Which is the smarter way to customize LLMs?
Boost accuracy, efficiency & domain-specific performance.
👉 articles.abilogic.com/732542/fine-...
#AI #LLM #PromptEngineering #machinelearning #Aicustomization #generativeai #NLP #Aioptimization #LLMtraining

A key insight: fine-tuning LLMs for empathy often decreases accuracy. Models become prone to validating incorrect user beliefs, leading to misleading information. This trade-off stems from the LLM's statistical nature, where empathy can introduce bias. #LLMTraining 2/6

Technically, GLM-4.5's training leverages specialized "expert models" and distillation. Understanding how context length impacts its performance is crucial for predicting its behavior on specific tasks. #LLMtraining 4/5

A core debate: Do LLMs "make up facts" from lack of knowledge or a drive to produce answers? A significant challenge is training models to confidently state "I don't know" instead of fabricating information. #LLMTraining 2/6

Just posted a blog titled “Book Review: Deep Learning for Network Engineers (by Toni Pasenen)”. www.linkedin.com/pulse/book-r... Tags: #PeterWelcher #CCIE1773 #LLM #LLMTraining #AI #AInetworking #BackendNetwork

The #PPU will solve these challenges. Our PPU fuels the next generation of CPUs, helping #cloudproviders & #serverCPU makers break free from old limits. The PPU accelerates AI workloads running on CPUs like complex simulations as well as data pre- & post-processing in #LLMtraining. #AI #HPC

Massive thread about #copyright and #genai #aicopyright #fairuse and #llmtraining #rag with good points made by multiple people interrogating my claims and perspectives!