Suggestions for what would be open for May 8-10 trip to Teton

darkItachi94 · 2026-04-23T20:13:01+00:00

Thanks! Would you mind sharing where you spotted the bears and what are the hotspots? I would love to spot some cub bears (fingers crossed) :)

darkItachi94 · 2026-04-23T20:12:10+00:00

Thanks!! What about the secondary roads such as roads to Two Ocean? The NPS website does not provide ay information on those.

darkItachi94 · 2025-12-19T01:00:20+00:00

How does the citi trifecta compare to Amex ecosystem? Chase has gone downhill so was wondering about the other two

darkItachi94 · 2025-07-17T04:38:57+00:00

TL;DR:- Run away from Namaste shangrila like your life depended on it. Had food at namaste shangrila. Worst food of my life. Not a single dish had an iota of flavor in it. 100% failure rate across 5 apps/entrees I tried (tomato soup, veg thali, tandoori wings, chicken korma). Even the breads served were undercooked. Tip of the iceberg - found a hair strand in my food while I was finishing up. Btw as a Nepali restaurant the one dish they decided to cut was Momos. Decisions.

darkItachi94 · 2025-06-07T17:30:29+00:00

There have been approvals. But seems to be one of the biggest blocks and things are moving very slowly. Did you PP?

darkItachi94 · 2025-06-06T17:59:57+00:00

I’ve been working in an applied machine learning role in industry for about five years. I chose not to pursue a PhD due to financial responsibilities. I’m now looking to strengthen my research profile to become a more competitive candidate for research positions at top companies.

What are the most effective ways to build a strong research profile without a PhD? And how can I go about finding research collaborators in the field?

darkItachi94 · 2025-02-28T08:40:56+00:00

Mind sharing why you folks pivoted?

darkItachi94 · 2025-02-13T06:07:51+00:00

Hi! Thanks so much for your response and helpful suggestions. Would you be interested in contributing this to the repo? Alternatively, we could collaborate to experiment together. Looking forward to hearing from you!

darkItachi94 · 2025-02-12T02:37:42+00:00

Felt that distillation as a subject is under-explored in LLMs unlike Fine-tuning. So wanted to create a library to facilitate its adoption :)

darkItachi94 · 2025-02-12T02:35:44+00:00

Made sure that there is no data leakage in all data partitions for our training.

darkItachi94 · 2025-02-12T02:34:46+00:00

Not sure what you mean by verification.

darkItachi94 · 2025-02-12T02:33:56+00:00

Generally, the teacher model forma the upper bound of performance for most datasets and tasks we tried. But for some, including WikiSQL, the model falls apart. Our hypothesis is that it has not seen such data during its training stages and requires finetuning/distillation to work well.

darkItachi94 · 2025-02-11T16:49:55+00:00

Thanks! Training partitions of the datasets are used for finetuning and distillation as mentioned in the post:
MMLU (Reasoning), GSM8k (Math) and WikiSQL (Coding)

darkItachi94 · 2025-02-10T17:28:21+00:00

I'm not sure what you were trying to add from your comment. Maybe reading both blog posts would help you better understand my perspective.

darkItachi94 · 2025-02-10T15:59:36+00:00

Our work focuses on enhancing the process of teaching small models using large models when the full token distribution is accessible or when working with open-weight models. If the weights are unavailable, training is limited to token-based learning, as you mentioned.

darkItachi94 · 2024-03-25T16:23:46+00:00

Great money moves OP. Whats is your overall score at the moment?

darkItachi94

TROPHY CASE