Training eSupport System
  • Log In
    • Log in with LS Login
    • Login
    • Register
  • About
  • Events
  • Materials
  • e-Learning
  • Workflows
  • Collections
  • Learning paths
  • Directory
    • Providers
    • Nodes
    • Spaces

TeSS makes use of some necessary cookies to provide its core functionality. Additionally, we make use of Google Analytics to discover how people are using TeSS in order to help us improve the service. To opt out of this, choose the "Allow necessary cookies" option.

See our Privacy Policy for more information.

You can modify your cookie preferences at any time here, or from the link in the footer.

Allow necessary cookies Allow all cookies
  1. Home
  2. Materials

Filter

  • Sort

  • Filter Clear filters

    • Date added
    • In the last 24 hours
    • In the last 1 week
    • In the last 1 month
    • Scientific topic
    • Active learning3
    • Ensembl learning3
    • Kernel methods3
    • Knowledge representation3
    • Machine learning3
    • Neural networks3
    • Recommender system3
    • Reinforcement learning3
    • Supervised learning3
    • Unsupervised learning3
    • Exomes1
    • Genome annotation1
    • Genomes1
    • Genomics1
    • Personal genomics1
    • Python1
    • Python program1
    • Python script1
    • Synthetic genomics1
    • Viral genomics1
    • Whole genomes1
    • py1
    • Show N_FILTERS more
    • Content provider
    • Glittr.org5
    • Show N_FILTERS more
    • Keyword
    • R331
    • Genomics168
    • Transcriptomics160
    • Python149
    • RNA-seq127
    • Next generation sequencing119
    • Data management104
    • Bioinformatics98
    • Statistics80
    • FAIR data77
    • FAIR69
    • Galaxy Server administration68
    • Machine learning68
    • Reproducibility68
    • Data science67
    • Single-cell sequencing61
    • Unix/Linux61
    • Proteomics56
    • jupyter-notebook55
    • Workflows54
    • Data visualization51
    • Version control51
    • Foundations of Data Science50
    • Variant analysis50
    • data management48
    • biodiversity47
    • metagenomics47
    • Development in Galaxy45
    • Statistics and machine learning45
    • Genome assembly43
    • Galaxy41
    • Single Cell41
    • microgalaxy41
    • training39
    • Metagenomics38
    • General36
    • Genome annotation36
    • Rare Diseases & Research36
    • FAIR Data, Workflows, and Research33
    • QC33
    • Microbiome32
    • Nextflow32
    • Genome Annotation31
    • Ecology30
    • programming30
    • Assembly28
    • FAIR principles28
    • Genome28
    • Metadata28
    • Molecular28
    • Alignment27
    • Contributing to the Galaxy Training Material27
    • Data analysis27
    • Phylogenetics27
    • Using Galaxy and Managing your Data27
    • biohackaton 201827
    • Epigenetics26
    • Long read sequencing26
    • RDM26
    • bioinformatics26
    • Docker25
    • Data reuse24
    • Annotation23
    • Containerization23
    • data stewardship23
    • ChIP-seq22
    • High performance computing22
    • Metabolomics22
    • Microbiology22
    • Shiny22
    • NGS21
    • Open Science21
    • RNA-Seq21
    • Spatial transcriptomics21
    • ansible21
    • metadata21
    • reproducible research21
    • BAM20
    • FASTQ20
    • Research Data Management20
    • life-sciences20
    • sensitive data19
    • CfRR19
    • Cloud computing19
    • Differential-expression19
    • FAIR Data19
    • Imaging19
    • Pre-processing19
    • REDCap19
    • Sequence analysis19
    • git-gat19
    • scientific computing19
    • Artificial intelligence18
    • Comparative genomics18
    • Data sharing18
    • Programming18
    • Variant Analysis18
    • interactive-tools18
    • transcriptomics18
    • work-in-progress18
    • Show N_FILTERS more
    • Competency level
    • Not specified5
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International2
    • Apache License 2.01
    • License Not Specified1
    • MIT License1
    • Show N_FILTERS more
    • Author
    • Fred Hutch Data Science Lab1
    • Maxime Labonne1
    • Raphael Mourad1
    • SIB Swiss Institute of Bioinformatics1
    • VIB Training & Conferences1
    • Show N_FILTERS more
    • Contributor
    • Ana Claudia Sima1
    • Candace Savonen1
    • Carrie Wright1
    • Elizabeth Humphries1
    • Kate Isaac1
    • Maxime Labonne1
    • Panayiotis Smeros1
    • Pietro Monticone1
    • Raphael Mourad1
    • Ruijie Wang1
    • Shrinija Kummari1
    • VIB Training & Conferences1
    • Vincent Emonet1
    • actions-user1
    • ava 🌱1
    • jhudsl-robot1
    • Show N_FILTERS more
    • Node
    • Switzerland5
    • Show N_FILTERS more
  • Show materials from all spaces
  • Show disabled materials
  • Hide materials with broken links
  • Show archived materials

Training materials

  • Subscribe via email

Email Subscription

Register training material

Keywords: Large language models

and Include broken links: true

5 materials found
  • vib-training-conferences/agentic-coding-with-github-copilot

    ELIXIR node event
    Artificial intelligence Large language models
  • sib-swiss/llm-biodata-training

    ELIXIR node event
    Python script Large language models Python Artificial intelligence
  • raphaelmourad/LLM-for-genomics-training

    ELIXIR node event
    Genomics Machine learning Large language models Genomics Machine learning Artificial intelligence
  • fhdsl/AI_for_Efficient_Programming

    ELIXIR node event
    Machine learning Large language models Machine learning Artificial intelligence
  • mlabonne/llm-course

    ELIXIR node event
    Machine learning Large language models Python Machine learning Artificial intelligence
Training eSupport System
[email protected]
Contribute
About TeSS
Browse Spaces
Funding & acknowledgements
Privacy
Cookie preferences
Version: 1.5.1
Source code
API documentation
Bioschemas testing tool

TeSS has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 676559.