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Daily Dose of Data Science ✓

@DailyDoseOfDS_ · Join for free → · joined 29 May 2022

Delivering daily insights in DS, ML, RAGs, Agents & AI Engineering. Trusted by over 100k+ readers!

50 975Followers
2Following
2 730Posts total
183.5KViews on collected posts

Postingan terbaru

RAG vs. Graph RAG vs. Agentic RAG, clearly explained! https://t.co/acpsahJexc
GIF
1.4K views · 7 likes · 2 reposts · 0 replies Open on X →
LLMs break every assumption about regular ML inference. A traditional ML model such as a CNN, transformer classifier, or XGBoost model produces its output in a single forward pass. Nothing carries over between requests. The hardware performs roughly the same kind of work each h
GIF
15.7K views · 205 likes · 49 reposts · 15 replies Open on X →
https://t.co/BLa1tqy0O0 29.4K views · 157 likes · 32 reposts · 6 replies Open on X →
Continuous batching in LLMs, clearly explained: (a popular LLM interview question; bookmark this) In traditional ML inference, a batch is a matrix. Every input is padded to the same length, one forward pass runs, and every row finishes at the same moment. LLM decoding does ht
0:29
8.5K views · 120 likes · 21 reposts · 5 replies Open on X →
RLHF vs. DPO vs. GRPO, explained visually: https://t.co/wTXFPc4fci
GIF
3K views · 32 likes · 4 reposts · 0 replies Open on X →
@DailyDoseOfDS_ Your sharing of DS is amazing! I’d love to share DeepAnalyze, the first agentic LLM for autonomous data science, supporting: 🛠 Data Science & 🔍Data Research We’d really appreciate it if you could use your influence to post it. Code&Demo: https://t.co/1SeX5mulRh 367 views · 4 likes · 2 reposts · 0 replies Open on X →
@DailyDoseOfDS_ If you’re requiring someone’s email address to download something that is “free” then it’s not really free when that information can be sold. 928 views · 4 likes · 0 reposts · 1 replies Open on X →
@DailyDoseOfDS_ I couldn't find the the download link?? 2.7K views · 4 likes · 1 reposts · 0 replies Open on X →
Get a FREE Data Science E-book (530+ page), featuring over 150 essential lessons in data science and machine learning. Download link in profile. https://t.co/qocCwAx98i
GIF
121.6K views · 453 likes · 86 reposts · 23 replies Open on X →

Dibandingkan akun berukuran sama

5 postingan dari 90 hari terakhir, dibandingkan dengan rentang 10K–100K pengikut. tampil ke lebih banyak orang dibanding akun seukurannya.

Median tayangan8 531akun ini924median untuk 10K–100K
Jangkauan, %16.74%akun ini3.62%median untuk 10K–100K
Interaksi, %1.21%akun ini1.52%median untuk 10K–100K
MetrikAkun iniMedian untuk 10K–100KRasio
Median tayangan per postingan8 5319249.23×
Jangkauan (tayangan ÷ pengikut)16.74%3.62%4.62×
Tingkat interaksi1.21%1.52%0.79×

Akun lain pada rentang ini →   Bandingkan dengan akun lain →   Bagaimana tolok ukur ini disusun →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

121.6K23 Sep
2.7K25 Sep
92828 Aug
36721 Oct
3K13 Sep
8.5K14 Sep
29.4K15 Sep
15.7K
1.4K16 Sep

Last 9 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.46%23 Sep
0.18%25 Sep
0.54%28 Aug
1.63%21 Oct
1.21%13 Sep
1.72%14 Sep
0.67%15 Sep
1.73%
0.66%16 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes39.9%986 in total
Reposts8.0%197 in total
Replies2.0%50 in total
Quotes0.3%8 in total
Bookmarks49.8%1 231 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Akun serupa