Nouhaila ATABET’s Post

Llama.cpp is so close to getting Bitnet b1.58 ternary mode support. https://lnkd.in/eTTjT8hn

How do we retry on failures? In distributed systems and networked applications, retry strategies are crucial for handling transient errors and network instability effectively. The diagram shows 4 common retry strategies. (via @alexxubyte)

Top 5 Tips & Tricks for LLM Fine Tuning and Inference For developers working with LLMs, Intel’s article serves as a practical guide to navigating the complexities of fine-tuning and inference, offering valuable insights and techniques for optimizing both the development and deployment phases.

The address operator in C, denoted by the symbol '&', allows you to find the exact location of a variable in the computer's memory. In simpler terms, it tells you where a specific variable is stored in the computer's memory. This concept can be useful for tasks like passing variables as pointers to functions or for debugging purposes.

Imagine a C++ class dynamically allocates memory in its constructor but forgets to release that memory in its destructor. How can we fix this memory leak without modifying the class itself? Let's try to understand this: To fix this memory leak without modifying the class itself, we can utilize the power of C++ smart pointers and RAII (Resource Acquisition Is Initialization) principle. First, let's assume the faulty class is named LeakyClass. Class LeakyClass { } Now we can create a wrapper class called LeakyWrapper that uses a smart pointer to manage the memory for LeakyClass. We can utilise std::unique_ptr for automatic memory management. In the next post, I will try providing the detailed code for this, stay tuned!

Here is an interesting research paper that discusses a runtime called DTHREADS that guarantees deterministic execution of multithreaded programs even in the presence of data races. Given the same sequence of inputs or OS events, a program using DTHREADS always produces the same output. By converting threads into processes, DTHREADS leverages process isolation and virtual memory protection to track and isolate concurrent memory updates with low overhead. The runtime uses this isolation to control the visibility of updates to shared memory, so each “thread” operates independently until it reaches a synchronization point. Check it out: https://lnkd.in/gXcgx2Ci #threads #computing #distributedcomputing #distributedsystems #performance #backendengineering

Checkpointing in Spark Checkpointing in Spark is a mechanism to truncate the lineage of an RDD, saving its state to a reliable storage to enhance fault tolerance and reduce recomputation overhead. For more info watch the video: https://lnkd.in/gG-feQQ7

#LeetCode, DCC, Day-14, 2025 #Tracking Seen Elements: The solution uses two frequency arrays (mpA and mpB) to track which elements have been seen in A and B up to the current index. #Counting Common Elements: For each index i, it checks if the current elements of A and B have already appeared in the other array, updating the common count (cnt). If A[i] equals B[i], it's immediately counted as common. #Building the Result: The common count for each index is stored in the ans array, which is returned as the prefix common array.

Performed Port Scanning using sx Tool in lab. The sx tool is a command-line network scanner that can be used to perform ARP scans, ICMP scans, TCP SYN scans, UDP scans and application scans such as SOCS5 scans, Docker scans and Elasticsearch scans. Command: sx <Options> Options: -> arp: performs an ARP scan. -> docker: Performs Docker scan. -> elastic: Performs Elasticsearch scan. -> icmp: Performs ICMP scan. -> udp: Performs UDP scan. -> tcp: performs a TCP scan. -> --json: converts a text file to the JSON format. -> tee: writes the data to stdin. -> -p: specifies the range of ports to be scanned. -> --help: to obtain the list of commands that can be used.

In embedded systems, efficient data management is critical, especially in resource-constrained environments where memory and processing power are limited. Circular buffers, also known as ring buffers, are a fundamental data structure that plays a pivotal role in managing data streams effectively. This article explores the principles, implementation, and practical applications of circular buffers in Embedded C, with a focus on resource-constrained systems. Download the files used in this article from here: https://lnkd.in/eCW9b2SJ