* [MAQAO] Info: Detected 1 Lprof instances in ip-172-31-47-249.ec2.internal.
If this is incorrect, rerun with number-processes-per-node=X
[0mOMP: pid 43251 tid 43350 thread 1 bound to OS proc set {1}
OMP: pid 43251 tid 43351 thread 2 bound to OS proc set {2}
OMP: pid 43251 tid 43352 thread 3 bound to OS proc set {3}
OMP: pid 43251 tid 43354 thread 5 bound to OS proc set {5}
OMP: pid 43251 tid 43251 thread 0 bound to OS proc set {0}
OMP: pid 43251 tid 43358 thread 9 bound to OS proc set {9}
OMP: pid 43251 tid 43353 thread 4 bound to OS proc set {4}
OMP: pid 43251 tid 43362 thread 13 bound to OS proc set {13}
OMP: pid 43251 tid 43357 thread 8 bound to OS proc set {8}
OMP: pid 43251 tid 43355 thread 6 bound to OS proc set {6}
OMP: pid 43251 tid 43361 thread 12 bound to OS proc set {12}
OMP: pid 43251 tid 43363 thread 14 bound to OS proc set {14}
OMP: pid 43251 tid 43366 thread 17 bound to OS proc set {17}
OMP: pid 43251 tid 43359 thread 10 bound to OS proc set {10}
OMP: pid 43251 tid 43356 thread 7 bound to OS proc set {7}
OMP: pid 43251 tid 43360 thread 11 bound to OS proc set {11}
OMP: pid 43251 tid 43382 thread 33 bound to OS proc set {33}
OMP: pid 43251 tid 43367 thread 18 bound to OS proc set {18}
OMP: pid 43251 tid 43364 thread 15 bound to OS proc set {15}
OMP: pid 43251 tid 43383 thread 34 bound to OS proc set {34}
OMP: pid 43251 tid 43368 thread 19 bound to OS proc set {19}
OMP: pid 43251 tid 43384 thread 35 bound to OS proc set {35}
OMP: pid 43251 tid 43365 thread 16 bound to OS proc set {16}
OMP: pid 43251 tid 43381 thread 32 bound to OS proc set {32}
OMP: pid 43251 tid 43370 thread 21 bound to OS proc set {21}
OMP: pid 43251 tid 43369 thread 20 bound to OS proc set {20}
OMP: pid 43251 tid 43386 thread 37 bound to OS proc set {37}
OMP: pid 43251 tid 43374 thread 25 bound to OS proc set {25}
OMP: pid 43251 tid 43378 thread 29 bound to OS proc set {29}
OMP: pid 43251 tid 43385 thread 36 bound to OS proc set {36}
OMP: pid 43251 tid 43371 thread 22 bound to OS proc set {22}
OMP: pid 43251 tid 43373 thread 24 bound to OS proc set {24}
OMP: pid 43251 tid 43377 thread 28 bound to OS proc set {28}
OMP: pid 43251 tid 43375 thread 26 bound to OS proc set {26}
OMP: pid 43251 tid 43390 thread 41 bound to OS proc set {41}
OMP: pid 43251 tid 43387 thread 38 bound to OS proc set {38}
OMP: pid 43251 tid 43376 thread 27 bound to OS proc set {27}
OMP: pid 43251 tid 43389 thread 40 bound to OS proc set {40}
OMP: pid 43251 tid 43391 thread 42 bound to OS proc set {42}
OMP: pid 43251 tid 43372 thread 23 bound to OS proc set {23}
OMP: pid 43251 tid 43414 thread 65 bound to OS proc set {65}
OMP: pid 43251 tid 43398 thread 49 bound to OS proc set {49}
OMP: pid 43251 tid 43400 thread 51 bound to OS proc set {51}
OMP: pid 43251 tid 43380 thread 31 bound to OS proc set {31}
OMP: pid 43251 tid 43399 thread 50 bound to OS proc set {50}
OMP: pid 43251 tid 43415 thread 66 bound to OS proc set {66}
OMP: pid 43251 tid 43388 thread 39 bound to OS proc set {39}
OMP: pid 43251 tid 43394 thread 45 bound to OS proc set {45}
OMP: pid 43251 tid 43402 thread 53 bound to OS proc set {53}
OMP: pid 43251 tid 43393 thread 44 bound to OS proc set {44}
OMP: pid 43251 tid 43379 thread 30 bound to OS proc set {30}
OMP: pid 43251 tid 43405 thread 56 bound to OS proc set {56}
OMP: pid 43251 tid 43395 thread 46 bound to OS proc set {46}
OMP: pid 43251 tid 43397 thread 48 bound to OS proc set {48}
OMP: pid 43251 tid 43401 thread 52 bound to OS proc set {52}
OMP: pid 43251 tid 43416 thread 67 bound to OS proc set {67}
OMP: pid 43251 tid 43396 thread 47 bound to OS proc set {47}
OMP: pid 43251 tid 43407 thread 58 bound to OS proc set {58}
OMP: pid 43251 tid 43413 thread 64 bound to OS proc set {64}
OMP: pid 43251 tid 43406 thread 57 bound to OS proc set {57}
OMP: pid 43251 tid 43410 thread 61 bound to OS proc set {61}
OMP: pid 43251 tid 43408 thread 59 bound to OS proc set {59}
OMP: pid 43251 tid 43404 thread 55 bound to OS proc set {55}
OMP: pid 43251 tid 43411 thread 62 bound to OS proc set {62}
OMP: pid 43251 tid 43409 thread 60 bound to OS proc set {60}
OMP: pid 43251 tid 43417 thread 68 bound to OS proc set {68}
OMP: pid 43251 tid 43418 thread 69 bound to OS proc set {69}
OMP: pid 43251 tid 43422 thread 73 bound to OS proc set {73}
OMP: pid 43251 tid 43423 thread 74 bound to OS proc set {74}
OMP: pid 43251 tid 43426 thread 77 bound to OS proc set {77}
OMP: pid 43251 tid 43419 thread 70 bound to OS proc set {70}
OMP: pid 43251 tid 43425 thread 76 bound to OS proc set {76}
OMP: pid 43251 tid 43421 thread 72 bound to OS proc set {72}
OMP: pid 43251 tid 43412 thread 63 bound to OS proc set {63}
OMP: pid 43251 tid 43430 thread 81 bound to OS proc set {81}
OMP: pid 43251 tid 43424 thread 75 bound to OS proc set {75}
OMP: pid 43251 tid 43420 thread 71 bound to OS proc set {71}
OMP: pid 43251 tid 43403 thread 54 bound to OS proc set {54}
OMP: pid 43251 tid 43431 thread 82 bound to OS proc set {82}
OMP: pid 43251 tid 43429 thread 80 bound to OS proc set {80}
OMP: pid 43251 tid 43432 thread 83 bound to OS proc set {83}
OMP: pid 43251 tid 43427 thread 78 bound to OS proc set {78}
OMP: pid 43251 tid 43392 thread 43 bound to OS proc set {43}
OMP: pid 43251 tid 43428 thread 79 bound to OS proc set {79}
OMP: pid 43251 tid 43442 thread 93 bound to OS proc set {93}
OMP: pid 43251 tid 43437 thread 88 bound to OS proc set {88}
OMP: pid 43251 tid 43438 thread 89 bound to OS proc set {89}
OMP: pid 43251 tid 43433 thread 84 bound to OS proc set {84}
OMP: pid 43251 tid 43439 thread 90 bound to OS proc set {90}
OMP: pid 43251 tid 43443 thread 94 bound to OS proc set {94}
OMP: pid 43251 tid 43441 thread 92 bound to OS proc set {92}
OMP: pid 43251 tid 43440 thread 91 bound to OS proc set {91}
OMP: pid 43251 tid 43434 thread 85 bound to OS proc set {85}
OMP: pid 43251 tid 43444 thread 95 bound to OS proc set {95}
OMP: pid 43251 tid 43436 thread 87 bound to OS proc set {87}
OMP: pid 43251 tid 43435 thread 86 bound to OS proc set {86}
what is a LLM? and why should I care?
A Large Language Model (LLM) is a type of artificial intelligence (AI) that uses natural language processing (NLP) to analyze and generate human-like text. It's like a super-smart language translator, but instead of just translating words, it can understand and respond to complex conversations, write essays, and even create poetry.
LLMs are trained on vast amounts of text data, which allows them to learn patterns and relationships between words, sentences, and ideas. This enables them to generate text that's coherent, contextually relevant, and often even creative.
So, why should you care about LLMs?
Here are some reasons:
1. **Improved language understanding and generation**: LLMs can help you better comprehend and communicate complex ideas, making them an excellent tool for language learners, writers, and researchers.
2. **Automated content creation**: LLMs can generate high-quality content, such as articles, social media posts, and even entire books, saving you time and effort.
3. **Enhanced productivity**: With LLMs, you can focus on high-level creative tasks, while the AI handles tasks like research, writing, and editing.
4. **Accessibility and inclusivity**: LLMs can help people with disabilities, language barriers, or limited access to educational resources by providing personalized language support and resources.
5. **Scientific breakthroughs**: LLMs can be used to analyze and generate scientific texts, such as research papers and articles, accelerating the discovery of new knowledge and insights.
Some popular examples of LLMs include:
* **Chatbots**: Conversational interfaces that use LLMs to understand and respond to user queries.
* **Language translation tools**: Like Google Translate, which relies on LLMs to generate accurate translations.
* **Content generation platforms**: Such as WordLift and Content Blossom, which use LLMs to create high-quality content.
To get started with LLMs, you can explore online platforms, tools, and tutorials that offer access to these AI-powered language models. Some popular resources include:
* **Hugging Face**: A platform that provides access to pre-trained LLMs and a community for developers and researchers.
* **Google's AI Platform**: Offers a range of AI tools, including LLMs, for developers and businesses.
* **Coursera and edX**: Online courses and tutorials that cover the basics of NLP and LLMs.
In summary, LLMs are powerful AI tools that can enhance language
Your experiment path is /home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-768-9528/llama.cpp/run/oneview_runs/defaults/orig/oneview_results_1757689631/tools/lprof_npsu_run_0
To display your profiling results:
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# LEVEL | REPORT | COMMAND #
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# Functions | Cluster-wide | maqao lprof -df xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-768-9528/llama.cpp/run/oneview_runs/defaults/orig/oneview_results_1757689631/tools/lprof_npsu_run_0 #
# Functions | Per-node | maqao lprof -df -dn xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-768-9528/llama.cpp/run/oneview_runs/defaults/orig/oneview_results_1757689631/tools/lprof_npsu_run_0 #
# Functions | Per-process | maqao lprof -df -dp xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-768-9528/llama.cpp/run/oneview_runs/defaults/orig/oneview_results_1757689631/tools/lprof_npsu_run_0 #
# Functions | Per-thread | maqao lprof -df -dt xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-768-9528/llama.cpp/run/oneview_runs/defaults/orig/oneview_results_1757689631/tools/lprof_npsu_run_0 #
# Loops | Cluster-wide | maqao lprof -dl xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-768-9528/llama.cpp/run/oneview_runs/defaults/orig/oneview_results_1757689631/tools/lprof_npsu_run_0 #
# Loops | Per-node | maqao lprof -dl -dn xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-768-9528/llama.cpp/run/oneview_runs/defaults/orig/oneview_results_1757689631/tools/lprof_npsu_run_0 #
# Loops | Per-process | maqao lprof -dl -dp xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-768-9528/llama.cpp/run/oneview_runs/defaults/orig/oneview_results_1757689631/tools/lprof_npsu_run_0 #
# Loops | Per-thread | maqao lprof -dl -dt xp=/home/eoseret/Tools/QaaS/qaas_runs/ip-172-31-47-249.ec2.internal/175-768-9528/llama.cpp/run/oneview_runs/defaults/orig/oneview_results_1757689631/tools/lprof_npsu_run_0 #
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