Pinned Repositories
context_distillation
Framework to achieve context distillation in LLMs
tinyformer
Code to run inference of Transformer models without any Python dependency, and in a simple manner
daert-agents
Repository with independent LLM based agents to perform tasks given by a prompt.
bert_has_a_mouth
Repository to experiment with the possibility of generating text with BERT models
scratchml
Machine Learning and Deep Learning framework developed from scratch in Python.
train_llama2
Repository with code to support the tutorial on the Daert Academy: https://www.youtube.com/watch?v=0Kc2g9GmJYY&t=1091s
bert_prompt_engineering
Repository to develop great prompt engineering techniques for BERT models
bfn_textgen
Repository for experimenting with Bayesian Flow Networks for text generation
fatkernels
Collection of fat kernels for deep learning writen in triton
llm_eval
Repository meant for a framework to evaluate LLM generations and generate prompts synthetically using metaprompts
DaertML's Repositories
DaertML/dato_curado
Repository meant for LLM data curation pipelines.
DaertML/neurons.py
The same goal as neurons.c but in python; cuz "damn C got hands"
DaertML/neurons.c
Collection of C codes to run different types of neural nets in plain C.
DaertML/daert-agent-orgs
Repository with agentic organizations in different frameworks
DaertML/openberry
Implementation of different methodologies to get towards the 🍓 behavior
DaertML/fatkernels
Collection of fat kernels for deep learning writen in triton
DaertML/som_textgen
Repository for experimenting with Self Organizing Maps (SOMs) for text generation
DaertML/langshell
Bringing together the LLMs ecosystem with the Unix shell philosophy and tools.
DaertML/daert-agents
Repository with independent LLM based agents to perform tasks given by a prompt.
DaertML/daert-stack
Stack to deploy LLM based applications in production
DaertML/llm_ctx_win_eval
Framework to evaluate the Context Window of LLMs
DaertML/open_alphacode2
Repository for an Open Source implementation of AlphaCode 2 from Google Deepmind. Check the video series: https://www.youtube.com/watch?v=NHKI2L9lqyI
DaertML/scratchml
Machine Learning and Deep Learning framework developed from scratch in Python.
DaertML/llm_eval
Repository meant for a framework to evaluate LLM generations and generate prompts synthetically using metaprompts
DaertML/llm_alignment
Repository for code and discussions on how to align LLMs and other findings
DaertML/train_llm_multinode
Repository for developing scripts for LLM training in a GPU cluster (multiple nodes).
DaertML/context_distillation
Framework to achieve context distillation in LLMs
DaertML/what_is_next_for_llms
This repo serves as a space for posting on future trends that we are exploring.
DaertML/train_llama2
Repository with code to support the tutorial on the Daert Academy: https://www.youtube.com/watch?v=0Kc2g9GmJYY&t=1091s
DaertML/svm_textgen
Repository for experimenting with Support Vector Machines for text generation
DaertML/bfn_textgen
Repository for experimenting with Bayesian Flow Networks for text generation
DaertML/bert_prompt_engineering
Repository to develop great prompt engineering techniques for BERT models
DaertML/bert_has_a_mouth
Repository to experiment with the possibility of generating text with BERT models
DaertML/llms_are_trained_cpus
Repository to experiment with LLMs as if they were CPUs by training and testing them with different embeddings
DaertML/tinyformer
Code to run inference of Transformer models without any Python dependency, and in a simple manner