#llmbenchmarks search results
#llmBenchmarks in simple terms. I had an LLM help me to write this, but if you're like me, and new to AI, the terms can be a bit cryptic.
🧪 New AI benchmark for Drupal devs: Nichebench by Sergiu Nagailic @nikro_md Tests LLMs on Drupal 10/11 code + knowledge. GPT-5 scored 75%—open models lag on code gen. 🔗 bit.ly/46vIOcV #Drupal #AIinDrupal #LLMbenchmarks #OpenSourceAI
Another day another benchmark. This one proving once again that GPT4 is still on top. I'm sorry @GoogleAI, it doesn't have to be open source but it has to be available... Thanks to the team lead by @gneubig github.com/neulab/gemini-… #LLMbenchmarks
Novo benchmark da Scale AI revela: os melhores modelos completam menos de 3% das tarefas reais. #AIAgents #LLMbenchmarks Leia mais: techatlas.io/pt/p/096dc4ea-… Ou escute: open.spotify.com/episode/6EFWSq…
A small observation : more than solving HL math/physics/coding problems, I find getting LLMs to 'formulate' good set of solvable problems in a given topic ( algebra, geometry ... ) is a challenge. LLMs should be benchmarked in this. #GenAI #LLMbenchmarks
While the giant context window and video capabilities grab headlines, Gemini Pro 1.5's core model performance shouldn't be overlooked. Surpassing Ultra 1.0 and nearing GPT-4 is impressive. Eager to see how this translates to real-world applications! #LLMBenchmarks #AIInnovation
CURIE introduced custom evals like LLMSim and LMScore to grade nuanced outputs (like equations, summaries, YAML, code). Even the best models (Claude 3, Gemini, GPT-4) scored just ~32%. Proteins? Total fail. LLMs can read papers — solving them is another matter. #LLMbenchmarks…
Evaluating Your LLM? Here’s the Secret Sauce to Get it Right! 📊 Dive into the key metrics and methods that can help you assess and fine-tune your large language model, so it’s ready for the real world. hubs.la/Q02XlW920 #LLMs #LLMEvaluation #LLMBenchmarks
Your LLM evals might be burning cash for no reason. More evaluations ≠ better results. Generic metrics, excessive scope, and inadequate sampling are undermining your ROI. Smart judges need context, justification, and human validation. #AI #LLMBenchmarks #AIObservability
🧪 New AI benchmark for Drupal devs: Nichebench by Sergiu Nagailic @nikro_md Tests LLMs on Drupal 10/11 code + knowledge. GPT-5 scored 75%—open models lag on code gen. 🔗 bit.ly/46vIOcV #Drupal #AIinDrupal #LLMbenchmarks #OpenSourceAI
Your LLM evals might be burning cash for no reason. More evaluations ≠ better results. Generic metrics, excessive scope, and inadequate sampling are undermining your ROI. Smart judges need context, justification, and human validation. #AI #LLMBenchmarks #AIObservability
CURIE introduced custom evals like LLMSim and LMScore to grade nuanced outputs (like equations, summaries, YAML, code). Even the best models (Claude 3, Gemini, GPT-4) scored just ~32%. Proteins? Total fail. LLMs can read papers — solving them is another matter. #LLMbenchmarks…
A small observation : more than solving HL math/physics/coding problems, I find getting LLMs to 'formulate' good set of solvable problems in a given topic ( algebra, geometry ... ) is a challenge. LLMs should be benchmarked in this. #GenAI #LLMbenchmarks
Evaluating Your LLM? Here’s the Secret Sauce to Get it Right! 📊 Dive into the key metrics and methods that can help you assess and fine-tune your large language model, so it’s ready for the real world. hubs.la/Q02XlW920 #LLMs #LLMEvaluation #LLMBenchmarks
While the giant context window and video capabilities grab headlines, Gemini Pro 1.5's core model performance shouldn't be overlooked. Surpassing Ultra 1.0 and nearing GPT-4 is impressive. Eager to see how this translates to real-world applications! #LLMBenchmarks #AIInnovation
Another day another benchmark. This one proving once again that GPT4 is still on top. I'm sorry @GoogleAI, it doesn't have to be open source but it has to be available... Thanks to the team lead by @gneubig github.com/neulab/gemini-… #LLMbenchmarks
#llmBenchmarks in simple terms. I had an LLM help me to write this, but if you're like me, and new to AI, the terms can be a bit cryptic.
🧪 New AI benchmark for Drupal devs: Nichebench by Sergiu Nagailic @nikro_md Tests LLMs on Drupal 10/11 code + knowledge. GPT-5 scored 75%—open models lag on code gen. 🔗 bit.ly/46vIOcV #Drupal #AIinDrupal #LLMbenchmarks #OpenSourceAI
Another day another benchmark. This one proving once again that GPT4 is still on top. I'm sorry @GoogleAI, it doesn't have to be open source but it has to be available... Thanks to the team lead by @gneubig github.com/neulab/gemini-… #LLMbenchmarks
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