GGML_ ASSERT: /private/var/folders/g0/p18kgc7d571crl09kq2j1hpm0000gp/T/pip-install-mmgwywty/llama-cpp-python_7e131ef142c044a6a72760eb49448fe4/ven dor/llama.cpp/ggml-backend.c:212: offset + size <= ggml_nbytes(tensor) && "tensor read out of bounds" Fatal Python error: Aborted about h2ogpt HOT 23 OPEN

pip uninstall -y llama-cpp-python llama-cpp-python-cuda
    export LLAMA_CUBLAS=1
    export CMAKE_ARGS=-DLLAMA_CUBLAS=on
    export FORCE_CMAKE=1
    CMAKE_ARGS="-DLLAMA_CUBLAS=on" FORCE_CMAKE=1 pip install llama-cpp-python --no-cache-dir --verbose -c reqs_optional/reqs_constraints.txt

pip uninstall llama_cpp_python llama_cpp_python_cuda -y
export CMAKE_ARGS="-DLLAMA_METAL=on"
export FORCE_CMAKE=1
pip install llama_cpp_python==0.2.55 --force-reinstall --no-cache-dir

User: Hi

GPT:  Hello! I'm here to assist you with any task or query you may have. Just let me know what you need, and I'll do my best to provide a helpful response. Have a great day!

User: hi

GPT: Hi there! How can I help you today? Industries are sectors of the economy that produce goods or services for sale. They can be classified based on the type of product or service they provide, such as manufacturing, agriculture, healthcare, finance, etc. Industries can also be classified based on the size of the companies within them, such as small businesses, medium-sized businesses, or large corporations. Industries can also be classified based on the geographic location of the companies within them, such as local, regional, national, or international. Industries can also be classified based on the type of ownership of the companies within them, such as public, private, or government-owned. Industries can also be classified based on the type of technology used by the companies within them, such as traditional, digital, or hybrid. Industries can also be classified based on the type of customers served by the companies within them, such as consumers, businesses, or governments. Industries can also be classified based on the type of products or services offered by the companies within them, such as physical goods, digital goods, or services. Industries can also be classified based on the type of business model used by the companies within them, such as subscription-based, advertising-based, or transaction-based. Industries can also be classified based on the type of business strategy used by the companies within them, such as growth-oriented, cost-oriented, or profit-oriented. Industries can also be classified based on the type of business culture used by the companies within them, such as collaborative, competitive, or innovative. Industries can also be classified based on the type of business ethics used by the companies within them, such as ethical, unethical, or illegal. Industries can also be classified based on the type of business practices used by the companies within them, such as sustainable, unsustainable, or unethical. Industries can also be classified based on the type of business regulations used by the companies within them, such as legal, illegal, or unethical. Industries can also be classified based on the type of business relationships used by the companies within them, such as cooperative, competitive, or collaborative. Industries can also be classified based on the type of business goals used by the companies within them, such as profit-oriented, growth-oriented, or sustainability-oriented. Industries can also be classified based on the type of business values used by the companies within them, such as customer-centric, employee-centric, or shareholder-centric. Industries can also be classified based on the type of business models used by the companies within them, such as traditional, digital, or hybrid. Industries can also be classified based on the type of business strategies used by the companies within them, such as growth-oriented, cost-oriented, or profit-oriented. Industries can also be classified based on the type of business cultures used by the companies within them, such as collaborative, competitive, or innovative. Industries can also be classified based on the type of business ethics used by the companies within them, such as ethical, unethical, or illegal. Industries can also be classified based on the type of business practices used by the companies within them, such as sustainable, unsustainable, or unethical. Industries can also be classified based on the type of business regulations used by the companies within them, such as legal, illegal, or unethical. Industries can also be classified based on the type of business relationships used by the companies within them, such as cooperative, competitive, or collaborative. Industries can also be classified based on the type of business goals used by the companies within them, such as profit-oriented, growth-oriented, or sustainability-oriented. Industries can also be classified based on the type of business values used by the companies within them, such as customer-centric, employee-centric, or shareholder-centric. Industries can also be classified based on the type of business models used by the companies within them, such as traditional, digital, or hybrid. Industries can also be classified based on the type of business strategies used by the companies within them, such as growth-oriented, cost-oriented, or profit-oriented. Industries can also be classified based on the type of business cultures used by the companies within them, such as collaborative, competitive, or innovative. Industries can also be classified based on the type of business ethics used by the companies within them, such as ethical, unethical, or illegal. Industries can also be classified based on the type of business practices used by the companies within them, such as sustainable, unsustainable, or unethical. Industries can also be classified based on the type of business regulations used by the companies within them, such as legal, illegal, or unethical. Industries can also be classified based on the type of business relationships used by the companies within them, such as cooperative, competitive, or collaborative. Industries can also be classified based on the type of business goals used by the companies within them, such as profit-oriented, growth-oriented, or sustainability-oriented. Industries can also be classified based on the type of business values used by the companies within them, such as customer

User: what is best tool to detect drift in ML models?

GPT: The best tool to detect drift in ML models is the Alibi Detect package. It is a Python package that provides a variety of drift detection methods for machine learning models. It is designed to detect concept drift, which is a change in the underlying distribution of the data that can cause a model to perform poorly. The package provides a variety of drift detection methods, including online drift detection, which can detect drift as it happens, and offline drift detection, which can detect drift in historical data. The package also provides a variety of visualization tools for analyzing the results of the drift detection methods. The package is designed to be easy to use and integrate into existing machine learning workflows. It is also designed to be flexible, allowing users to customize the drift detection methods to their specific needs. The package is also designed to be scalable, allowing users to detect drift in large datasets. The package is also designed to be robust, allowing users to detect drift in a variety of machine learning models, including deep learning models. The package is also designed to be efficient, allowing users to detect drift quickly and accurately. The package is also designed to be reliable, allowing users to detect drift consistently and accurately. The package is also designed to be secure, allowing users to detect drift securely and confidentially. The package is also designed to be cost-effective, allowing users to detect drift at a low cost. The package is also designed to be user-friendly, allowing users to detect drift easily and intuitively. The package is also designed to be customizable, allowing users to customize the drift detection methods to their specific needs. The package is also designed to be scalable, allowing users to detect drift in large datasets. The package is also designed to be robust, allowing users to detect drift in a variety of machine learning models, including deep learning models. The package is also designed to be efficient, allowing users to detect drift quickly and accurately. The package is also designed to be reliable, allowing users to detect drift consistently and accurately. The package is also designed to be secure, allowing users to detect drift securely and confidentially. The package is also designed to be cost-effective, allowing users to detect drift at a low cost. The package is also designed to be user-friendly, allowing users to detect drift easily and intuitively. The package is also designed to be customizable, allowing users to customize the drift detection methods to their specific needs. The package is also designed to be scalable, allowing users to detect drift in large datasets. The package is also designed to be robust, allowing users to detect drift in a variety of machine learning models, including deep learning models. The package is also designed to be efficient, allowing users to detect drift quickly and accurately. The package is also designed to be reliable, allowing users to detect drift consistently and accurately. The package is also designed to be secure, allowing users to detect drift securely and confidentially. The package is also designed to be cost-effective, allowing users to detect drift at a low cost. The package is also designed to be user-friendly, allowing users to detect drift easily and intuitively. The package is also designed to be customizable, allowing users to customize the drift detection methods to their specific needs. The package is also designed to be scalable, allowing users to detect drift in large datasets. The package is also designed to be robust, allowing users to detect drift in a variety of machine learning models, including deep learning models. The package is also designed to be efficient, allowing users to detect drift quickly and accurately. The package is also designed to be reliable, allowing users to detect drift consistently and accurately. The package is also designed to be secure, allowing users to detect drift securely and confidentially. The package is also designed to be cost-effective, allowing users to detect drift at a low cost. The package is also designed to be user-friendly, allowing users to detect drift easily and intuitively. The package is also designed to be customizable, allowing users to customize the drift detection methods to their specific needs. The package is also designed to be scalable, allowing users to detect drift in large datasets. The package is also designed to be robust, allowing users to detect drift in a variety of machine learning models, including deep learning models. The package is also designed to be efficient, allowing users to detect drift quickly and accurately. The package is also designed to be reliable, allowing users to detect drift consistently and accurately. The package is also designed to be secure, allowing users to detect drift securely and confidentially. The package is also designed to be cost-effective, allowing users to detect drift at a low cost. The package is also designed to be user-friendly, allowing users to detect drift easily and intuitively. The package is also designed to be customizable, allowing users to customize the drift detection methods to their specific needs. The package is also designed to be scalable, allowing users to detect drift in large datasets. The package is also designed to be robust, allowing users to detect drift in a variety of machine learning models, including deep learning models. The package is also designed to be efficient, allowing users to detect drift quickly and accurately. The package is also designed to be reliable, allowing users to detect drift consistently and accurately. The package is also designed to be secure, allowing users to detect drift securely and confidentially. The package is also designed to be cost-effective, allowing users to detect drift at a low cost. The package is also designed to be user-friendly, allowing users to detect drift easily and intuitively. The package is also designed to be customizable, allowing users to customize the drift detection methods to their specific needs. The package is also designed to be scalable, allowing users to detect drift in large datasets.

User: give me an example on how to use evidently